Adaptive surgical system control according to surgical smoke cloud characteristics

ABSTRACT

Various control systems for controlling a surgical system according to detected airborne particulate cloud characteristics are disclosed. The control systems can adaptively control various surgical devices, such as surgical instruments and smoke evacuators, according to the configuration or change in state of a surgical smoke cloud or another aerosol detected at a surgical site.

BACKGROUND

Surgical systems often incorporate an imaging system, which can allowthe clinician(s) to view the surgical site and/or one or more portionsthereof on one or more displays such as a monitor, for example. Thedisplay(s) can be local and/or remote to a surgical theater. An imagingsystem can include a scope with a camera that views the surgical siteand transmits the view to a display that is viewable by a clinician.Scopes include, but are not limited to, arthroscopes, angioscopes,bronchoscopes, choledochoscopes, colonoscopes, cytoscopes,duodenoscopes, enteroscopes, esophagogastro-duodenoscopes(gastroscopes), endoscopes, laryngoscopes, nasopharyngo-neproscopes,sigmoidoscopes, thoracoscopes, ureteroscopes, and exoscopes. Imagingsystems can be limited by the information that they are able torecognize and/or convey to the clinician(s). For example, certainconcealed structures, physical contours, and/or dimensions within athree-dimensional space may be unrecognizable intraoperatively bycertain imaging systems. Additionally, certain imaging systems may beincapable of communicating and/or conveying certain information to theclinician(s) intraoperatively.

SUMMARY

In one general aspect, a control system for a surgical system isdisclosed. The control system includes an imaging system and a controlcircuit coupled to the imaging system. The imaging system includes anemitter configured to emit multispectral electromagnetic radiation (EMR)and an image sensor. The control circuit is configured to detectairborne particulates via the image sensor based on the emitted EMR,characterize a boundary of a particulate cloud containing the detectedairborne particulates, and adjust a control parameter of the surgicalsystem according to a characteristic of the boundary of the particulatecloud.

In another general aspect, a control system for a surgical system isdisclosed. The control system includes an imaging system and a controlcircuit coupled to the imaging system. The imaging system includes amultispectral electromagnetic radiation (EMR) source and an imagesensor. The control circuit is configured to detect the EMR reflectedfrom particulates in an aerosol as received by the image sensor,characterize a configuration of the aerosol containing the detectedparticulates, and adjust at least one of a first control parameter or asecond control parameter of the surgical system according to thecharacterized configuration of the aerosol.

In yet another general aspect, a method of controlling a surgical systemis disclosed. The surgical system includes an imaging system, theimaging system including an emitter configured to emit multispectralelectromagnetic radiation (EMR) and an image sensor. The method includesdetecting airborne particulates via the image sensor based on theemitted EMR, characterizing a boundary of a particulate cloud containingthe detected airborne particulates, and adjusting a control parameter ofthe surgical system according to a characteristic of the boundary of theparticulate cloud.

FIGURES

The novel features of the various aspects are set forth withparticularity in the appended claims. The described aspects, however,both as to organization and methods of operation, may be best understoodby reference to the following description, taken in conjunction with theaccompanying drawings in which:

FIG. 1 is a schematic of a surgical visualization system including animaging device and a surgical device, the surgical visualization systemconfigured to identify a critical structure below a tissue surface,according to at least one aspect of the present disclosure.

FIG. 2 is a schematic of a control system for a surgical visualizationsystem, according to at least one aspect of the present disclosure.

FIG. 2A illustrates a control circuit configured to control aspects of asurgical visualization system, according to at least one aspect of thepresent disclosure.

FIG. 2B illustrates a combinational logic circuit configured to controlaspects of a surgical visualization system, according to at least oneaspect of the present disclosure.

FIG. 2C illustrates a sequential logic circuit configured to controlaspects of a surgical visualization system, according to at least oneaspect of the present disclosure.

FIG. 3 is a schematic depicting triangularization between the surgicaldevice, the imaging device, and the critical structure of FIG. 1 todetermine a depth d_(A) of the critical structure below the tissuesurface, according to at least one aspect of the present disclosure.

FIG. 4 is a schematic of a surgical visualization system configured toidentify a critical structure below a tissue surface, wherein thesurgical visualization system includes a pulsed light source fordetermining a depth d_(A) of the critical structure below the tissuesurface, according to at least one aspect of the present disclosure.

FIG. 5 is a schematic of a surgical visualization system including animaging device and a surgical device, the surgical visualization systemconfigured to identify a critical structure below a tissue surface,according to at least one aspect of the present disclosure.

FIG. 6 is a schematic of a surgical visualization system including athree-dimensional camera, wherein the surgical visualization system isconfigured to identify a critical structure that is embedded withintissue, according to at least one aspect of the present disclosure.

FIGS. 7A and 7B are views of the critical structure taken by thethree-dimensional camera of FIG. 6, in which FIG. 7A is a view from aleft-side lens of the three-dimensional camera and FIG. 7B is a viewfrom a right-side lens of the three-dimensional camera, according to atleast one aspect of the present disclosure.

FIG. 8 is a schematic of the surgical visualization system of FIG. 6, inwhich a camera-to-critical structure distance d_(w) from thethree-dimensional camera to the critical structure can be determined,according to at least one aspect of the present disclosure.

FIG. 9 is a schematic of a surgical visualization system utilizing twocameras to determine the position of an embedded critical structure,according to at least one aspect of the present disclosure.

FIG. 10A is a schematic of a surgical visualization system utilizing acamera that is moved axially between a plurality of known positions todetermine a position of an embedded critical structure, according to atleast one aspect of the present disclosure.

FIG. 10B is a schematic of the surgical visualization system of FIG.10A, in which the camera is moved axially and rotationally between aplurality of known positions to determine a position of the embeddedcritical structure, according to at least one aspect of the presentdisclosure.

FIG. 11 is a schematic of a control system for a surgical visualizationsystem, according to at least one aspect of the present disclosure.

FIG. 12 is a schematic of a structured light source for a surgicalvisualization system, according to at least one aspect of the presentdisclosure.

FIG. 13A is a graph of absorption coefficient verse wavelength forvarious biological materials, according to at least one aspect of thepresent disclosure.

FIG. 13B is a schematic of the visualization of anatomical structuresvia a spectral surgical visualization system, according to at least oneaspect of the present disclosure.

FIGS. 13C-13E depict illustrative hyperspectral identifying signaturesto differentiate anatomy from obscurants, wherein FIG. 13C is agraphical representation of a ureter signature versus obscurants, FIG.13D is a graphical representation of an artery signature versusobscurants, and FIG. 13E is a graphical representation of a nervesignature versus obscurants, according to at least one aspect of thepresent disclosure.

FIG. 14 is a schematic of a near infrared (NIR) time-of-flightmeasurement system configured to sense distance to a critical anatomicalstructure, the time-of-flight measurement system including a transmitter(emitter) and a receiver (sensor) positioned on a common device,according to at least one aspect of the present disclosure.

FIG. 15 is a schematic of an emitted wave, a received wave, and a delaybetween the emitted wave and the received wave of the NIR time-of-flightmeasurement system of FIG. 17A, according to at least one aspect of thepresent disclosure.

FIG. 16 illustrates a NIR time-of-flight measurement system configuredto sense a distance to different structures, the time-of-flightmeasurement system including a transmitter (emitter) and a receiver(sensor) on separate devices, according to at least one aspect of thepresent disclosure.

FIG. 17 is a block diagram of a computer-implemented interactivesurgical system, according to at least one aspect of the presentdisclosure.

FIG. 18 is a surgical system being used to perform a surgical procedurein an operating room, according to at least one aspect of the presentdisclosure.

FIG. 19 illustrates a computer-implemented interactive surgical system,according to at least one aspect of the present disclosure.

FIG. 20 illustrates a diagram of a situationally aware surgical system,according to at least one aspect of the present disclosure.

FIG. 21 illustrates a timeline depicting situational awareness of a hub,according to at least one aspect of the present disclosure.

FIG. 22 is a diagram of a surgical system during the performance of asurgical procedure, in accordance with at least one aspect of thepresent disclosure.

FIG. 23 is a diagram of an imaging device faced with multipleobscurants, in accordance with at least one aspect of the presentdisclosure.

FIG. 24 is a logic flow diagram of a process for generating fused imagesutilizing a multispectral EMR source, in accordance with at least oneaspect of the present disclosure.

FIG. 25 is a diagram of a fused image generated from a multispectral EMRsource, in accordance with at least one aspect of the presentdisclosure.

FIG. 26 is a logic flow diagram of a process for generating fused imagesutilizing multiple image frames, in accordance with at least one aspectof the present disclosure.

FIG. 27 is a diagram of a series of image frames, in accordance with atleast one aspect of the present disclosure.

FIG. 28 is a diagram of a fused image, in accordance with at least oneaspect of the present disclosure.

FIG. 29 is a diagram of a fused image as visualized to a user, inaccordance with at least one aspect of the present disclosure.

FIG. 30 is schematic diagram of a surgical instrument, in accordancewith at least one aspect of the present disclosure.

FIG. 31 is a logic flow diagram of a process for controlling a surgicalsystem based on multiple sensed parameters, in accordance with at leastone aspect of the present disclosure.

FIG. 32 is a diagram of a polarizing EMR source for detecting differentparticulate types, in accordance with at least one aspect of the presentdisclosure.

FIG. 33A is a logic flow diagram of a process for controlling a surgicalsystem according to detected particulate types, in accordance with atleast one aspect of the present disclosure.

FIG. 33B is a logic flow diagram of a process for controlling a surgicalsystem according to detected particulate types detected within a definedrange gate, in accordance with at least one aspect of the presentdisclosure.

FIG. 34A is a pixel array of an image sensor detecting airborneparticulates, in accordance with at least one aspect of the presentdisclosure.

FIG. 34B is a pixel array of an image sensor detecting airborneparticulates that have moved from the positions shown in FIG. 34A, inaccordance with at least one aspect of the present disclosure.

FIG. 34C is a pixel array of an image sensor indicating the generalizedmovement vector of the particulates shown in FIG. 34B, in accordancewith at least one aspect of the present disclosure.

FIG. 35 illustrates a change in airborne particulate cloud statecorresponding to FIGS. 34A-C, in accordance with at least one aspect ofthe present disclosure.

FIG. 36 is a diagram of a surgical system during the performance of asurgical procedure in which a particulate cloud is being generated, inaccordance with at least one aspect of the present disclosure.

FIG. 37 is a logic flow diagram of a process for controlling a surgicalsystem according to particulate cloud characteristics, in accordancewith at least one aspect of the present disclosure.

FIG. 38 is a series of graphs illustrating the adjustment of controlparameters based on particulate cloud characteristics, in accordancewith at least one aspect of the present disclosure.

DESCRIPTION

Applicant of the present application owns the following U.S. patentapplications, filed contemporaneously, each of which is hereinincorporated by reference in its entirety:

-   -   Attorney Docket No. END9228USNP1/190580-1M, titled METHOD OF        USING IMAGING DEVICES IN SURGERY;    -   Attorney Docket No. END9227USNP1/190579-1, titled ADAPTIVE        VISUALIZATION BY A SURGICAL SYSTEM;    -   Attorney Docket No. END9226USNP1/190578-1, titled SURGICAL        SYSTEM CONTROL BASED ON MULTIPLE SENSED PARAMETERS;    -   Attorney Docket No. END9225USNP1/190577-1, titled ADAPTIVE        SURGICAL SYSTEM CONTROL ACCORDING TO SURGICAL SMOKE PARTICLE        CHARACTERISTICS;    -   Attorney Docket No. END9223USNP1/190575-1, titled SURGICAL        SYSTEMS CORRELATING VISUALIZATION DATA AND POWERED SURGICAL        INSTRUMENT DATA;    -   Attorney Docket No. END9222USNP1/190574-1, titled SURGICAL        SYSTEMS FOR GENERATING THREE DIMENSIONAL CONSTRUCTS OF        ANATOMICAL ORGANS AND COUPLING IDENTIFIED;    -   Attorney Docket No. END9221USNP1/190573-1, titled SURGICAL        SYSTEM FOR OVERLAYING SURGICAL INSTRUMENT DATA ONTO A VIRTUAL        THREE DIMENSIONAL CONSTRUCT OF AN ORGAN;    -   Attorney Docket No. END9220USNP1/190572-1, titled SURGICAL        SYSTEMS FOR PROPOSING AND CORROBORATING ORGAN PORTION REMOVALS;    -   Attorney Docket No. END9219USNP1/190571-1, titled SYSTEM AND        METHOD FOR DETERMINING, ADJUSTING, AND MANAGING RESECTION MARGIN        ABOUT A SUBJECT TISSUE;    -   Attorney Docket No. END9218USNP1/190570-1, titled VISUALIZATION        SYSTEMS USING STRUCTURED LIGHT;    -   Attorney Docket No. END9217USNP1/190569-1, titled DYNAMIC        SURGICAL VISUALIZATION SYSTEMS; and    -   Attorney Docket No. END9216USNP1/190568-1, titled ANALYZING        SURGICAL TRENDS BY A SURGICAL SYSTEM.

Applicant of the present application owns the following U.S. patentapplications, filed on Mar. 15, 2019, each of which is hereinincorporated by reference in its entirety:

-   -   U.S. patent application Ser. No. 16/354,417, titled INPUT        CONTROLS FOR ROBOTIC SURGERY;    -   U.S. patent application Ser. No. 16/354,420, titled DUAL MODE        CONTROLS FOR ROBOTIC SURGERY;    -   U.S. patent application Ser. No. 16/354,422, titled MOTION        CAPTURE CONTROLS FOR ROBOTIC SURGERY;    -   U.S. patent application Ser. No. 16/354,440, titled ROBOTIC        SURGICAL SYSTEMS WITH MECHANISMS FOR SCALING SURGICAL TOOL        MOTION ACCORDING TO TISSUE PROXIMITY;    -   U.S. patent application Ser. No. 16/354,444, titled ROBOTIC        SURGICAL SYSTEMS WITH MECHANISMS FOR SCALING CAMERA        MAGNIFICATION ACCORDING TO PROXIMITY OF SURGICAL TOOL TO TISSUE;    -   U.S. patent application Ser. No. 16/354,454, titled ROBOTIC        SURGICAL SYSTEMS WITH SELECTIVELY LOCKABLE END EFFECTORS;    -   U.S. patent application Ser. No. 16/354,461, titled SELECTABLE        VARIABLE RESPONSE OF SHAFT MOTION OF SURGICAL ROBOTIC SYSTEMS;    -   U.S. patent application Ser. No. 16/354,470, titled SEGMENTED        CONTROL INPUTS FOR SURGICAL ROBOTIC SYSTEMS;    -   U.S. patent application Ser. No. 16/354,474, titled ROBOTIC        SURGICAL CONTROLS HAVING FEEDBACK CAPABILITIES;    -   U.S. patent application Ser. No. 16/354,478, titled ROBOTIC        SURGICAL CONTROLS WITH FORCE FEEDBACK; and    -   U.S. patent application Ser. No. 16/354,481, titled JAW        COORDINATION OF ROBOTIC SURGICAL CONTROLS.

Applicant of the present application also owns the following U.S. patentapplications, filed on Sep. 11, 2018, each of which is hereinincorporated by reference in its entirety:

-   -   U.S. patent application Ser. No. 16/128,179, titled SURGICAL        VISUALIZATION PLATFORM;    -   U.S. patent application Ser. No. 16/128,180, titled CONTROLLING        AN EMITTER ASSEMBLY PULSE SEQUENCE;    -   U.S. patent application Ser. No. 16/128,198, titled SINGULAR EMR        SOURCE EMITTER ASSEMBLY;    -   U.S. patent application Ser. No. 16/128,207, titled COMBINATION        EMITTER AND CAMERA ASSEMBLY;    -   U.S. patent application Ser. No. 16/128,176, titled SURGICAL        VISUALIZATION WITH PROXIMITY TRACKING FEATURES;    -   U.S. patent application Ser. No. 16/128,187, titled SURGICAL        VISUALIZATION OF MULTIPLE TARGETS;    -   U.S. patent application Ser. No. 16/128,192, titled        VISUALIZATION OF SURGICAL DEVICES;    -   U.S. patent application Ser. No. 16/128,163, titled OPERATIVE        COMMUNICATION OF LIGHT;    -   U.S. patent application Ser. No. 16/128,197, titled ROBOTIC        LIGHT PROJECTION TOOLS;    -   U.S. patent application Ser. No. 16/128,164, titled SURGICAL        VISUALIZATION FEEDBACK SYSTEM;    -   U.S. patent application Ser. No. 16/128,193, titled SURGICAL        VISUALIZATION AND MONITORING;    -   U.S. patent application Ser. No. 16/128,195, titled INTEGRATION        OF IMAGING DATA;    -   U.S. patent application Ser. No. 16/128,170, titled        ROBOTICALLY-ASSISTED SURGICAL SUTURING SYSTEMS;    -   U.S. patent application Ser. No. 16/128,183, titled SAFETY LOGIC        FOR SURGICAL SUTURING SYSTEMS;    -   U.S. patent application Ser. No. 16/128,172, titled ROBOTIC        SYSTEM WITH SEPARATE PHOTOACOUSTIC RECEIVER; and    -   U.S. patent application Ser. No. 16/128,185, titled FORCE SENSOR        THROUGH STRUCTURED LIGHT DEFLECTION.

Applicant of the present application also owns the following U.S. patentapplications, filed on Mar. 29, 2018, each of which is hereinincorporated by reference in its entirety:

-   -   U.S. patent application Ser. No. 15/940,627, titled DRIVE        ARRANGEMENTS FOR ROBOT-ASSISTED SURGICAL PLATFORMS, now U.S.        Patent Application Publication No. 2019/0201111;    -   U.S. patent application Ser. No. 15/940,676, titled AUTOMATIC        TOOL ADJUSTMENTS FOR ROBOT-ASSISTED SURGICAL PLATFORMS, now U.S.        Patent Application Publication No. 2019/0201142;    -   U.S. patent application Ser. No. 15/940,711, titled SENSING        ARRANGEMENTS FOR ROBOT-ASSISTED SURGICAL PLATFORMS, now U.S.        Patent Application Publication No. 2019/0201120; and    -   U.S. patent application Ser. No. 15/940,722, titled        CHARACTERIZATION OF TISSUE IRREGULARITIES THROUGH THE USE OF        MONO-CHROMATIC LIGHT REFRACTIVITY, now U.S. Patent Application        Publication No. 2019/0200905.

Applicant of the present application owns the following U.S. patentapplications, filed on Dec. 4, 2018, the disclosure of each of which isherein incorporated by reference in its entirety:

-   -   U.S. patent application Ser. No. 16/209,395, titled METHOD OF        HUB COMMUNICATION, now U.S. Patent Application Publication No.        2019/0201136;    -   U.S. patent application Ser. No. 16/209,403, titled METHOD OF        CLOUD BASED DATA ANALYTICS FOR USE WITH THE HUB, now U.S. Patent        Application Publication No. 2019/0206569;    -   U.S. patent application Ser. No. 16/209,407, titled METHOD OF        ROBOTIC HUB COMMUNICATION, DETECTION, AND CONTROL, now U.S.        Patent Application Publication No. 2019/0201137;    -   U.S. patent application Ser. No. 16/209,416, titled METHOD OF        HUB COMMUNICATION, PROCESSING, DISPLAY, AND CLOUD ANALYTICS, now        U.S. Patent Application Publication No. 2019/0206562;    -   U.S. patent application Ser. No. 16/209,423, titled METHOD OF        COMPRESSING TISSUE WITHIN A STAPLING DEVICE AND SIMULTANEOUSLY        DISPLAYING THE LOCATION OF THE TISSUE WITHIN THE JAWS, now U.S.        Patent Application Publication No. 2019/0200981;    -   U.S. patent application Ser. No. 16/209,427, titled METHOD OF        USING REINFORCED FLEXIBLE CIRCUITS WITH MULTIPLE SENSORS TO        OPTIMIZE PERFORMANCE OF RADIO FREQUENCY DEVICES, now U.S. Patent        Application Publication No. 2019/0208641;    -   U.S. patent application Ser. No. 16/209,433, titled METHOD OF        SENSING PARTICULATE FROM SMOKE EVACUATED FROM A PATIENT,        ADJUSTING THE PUMP SPEED BASED ON THE SENSED INFORMATION, AND        COMMUNICATING THE FUNCTIONAL PARAMETERS OF THE SYSTEM TO THE        HUB, now U.S. Patent Application Publication No. 2019/0201594;    -   U.S. patent application Ser. No. 16/209,447, titled METHOD FOR        SMOKE EVACUATION FOR SURGICAL HUB, now U.S. Patent Application        Publication No. 2019/0201045;    -   U.S. patent application Ser. No. 16/209,453, titled METHOD FOR        CONTROLLING SMART ENERGY DEVICES, now U.S. Patent Application        Publication No. 2019/0201046;    -   U.S. patent application Ser. No. 16/209,458, titled METHOD FOR        SMART ENERGY DEVICE INFRASTRUCTURE, now U.S. Patent Application        Publication No. 2019/0201047;    -   U.S. patent application Ser. No. 16/209,465, titled METHOD FOR        ADAPTIVE CONTROL SCHEMES FOR SURGICAL NETWORK CONTROL AND        INTERACTION, now U.S. Patent Application Publication No.        2019/0206563;    -   U.S. patent application Ser. No. 16/209,478, titled METHOD FOR        SITUATIONAL AWARENESS FOR SURGICAL NETWORK OR SURGICAL NETWORK        CONNECTED DEVICE CAPABLE OF ADJUSTING FUNCTION BASED ON A SENSED        SITUATION OR USAGE, now U.S. Patent Application Publication No.        2019/0104919;    -   U.S. patent application Ser. No. 16/209,490, titled METHOD FOR        FACILITY DATA COLLECTION AND INTERPRETATION, now U.S. Patent        Application Publication No. 2019/0206564; and    -   U.S. patent application Ser. No. 16/209,491, titled METHOD FOR        CIRCULAR STAPLER CONTROL ALGORITHM ADJUSTMENT BASED ON        SITUATIONAL AWARENESS, now U.S. Patent Application Publication        No. 2019/0200998.

Before explaining various aspects of a surgical visualization platformin detail, it should be noted that the illustrative examples are notlimited in application or use to the details of construction andarrangement of parts illustrated in the accompanying drawings anddescription. The illustrative examples may be implemented orincorporated in other aspects, variations, and modifications, and may bepracticed or carried out in various ways. Further, unless otherwiseindicated, the terms and expressions employed herein have been chosenfor the purpose of describing the illustrative examples for theconvenience of the reader and are not for the purpose of limitationthereof. Also, it will be appreciated that one or more of thefollowing-described aspects, expressions of aspects, and/or examples,can be combined with any one or more of the other following-describedaspects, expressions of aspects, and/or examples.

Surgical Visualization System

The present disclosure is directed to a surgical visualization platformthat leverages “digital surgery” to obtain additional information abouta patient's anatomy and/or a surgical procedure. The surgicalvisualization platform is further configured to convey data and/orinformation to one or more clinicians in a helpful manner. For example,various aspects of the present disclosure provide improved visualizationof the patient's anatomy and/or the surgical procedure.

“Digital surgery” can embrace robotic systems, advanced imaging,advanced instrumentation, artificial intelligence, machine learning,data analytics for performance tracking and benchmarking, connectivityboth inside and outside of the operating room (OR), and more. Althoughvarious surgical visualization platforms described herein can be used incombination with a robotic surgical system, surgical visualizationplatforms are not limited to use with a robotic surgical system. Incertain instances, advanced surgical visualization can occur withoutrobotics and/or with limited and/or optional robotic assistance.Similarly, digital surgery can occur without robotics and/or withlimited and/or optional robotic assistance.

In certain instances, a surgical system that incorporates a surgicalvisualization platform may enable smart dissection in order to identifyand avoid critical structures. Critical structures include anatomicalstructures such as a ureter, an artery such as a superior mesentericartery, a vein such as a portal vein, a nerve such as a phrenic nerve,and/or a tumor, among other anatomical structures. In other instances, acritical structure can be a foreign structure in the anatomical field,such as a surgical device, surgical fastener, clip, tack, bougie, band,and/or plate, for example. Critical structures can be determined on apatient-by-patient and/or a procedure-by-procedure basis. Examplecritical structures are further described herein. Smart dissectiontechnology may provide improved intraoperative guidance for dissectionand/or can enable smarter decisions with critical anatomy detection andavoidance technology, for example.

A surgical system incorporating a surgical visualization platform mayalso enable smart anastomosis technologies that provide more consistentanastomoses at optimal location(s) with improved workflow. Cancerlocalization technologies may also be improved with the various surgicalvisualization platforms and procedures described herein. For example,cancer localization technologies can identify and track a cancerlocation, orientation, and its margins. In certain instances, the cancerlocalizations technologies may compensate for movement of a tool, apatient, and/or the patient's anatomy during a surgical procedure inorder to provide guidance back to the point of interest for theclinician.

In certain aspects of the present disclosure, a surgical visualizationplatform may provide improved tissue characterization and/or lymph nodediagnostics and mapping. For example, tissue characterizationtechnologies may characterize tissue type and health without the needfor physical haptics, especially when dissecting and/or placing staplingdevices within the tissue. Certain tissue characterization technologiesdescribed herein may be utilized without ionizing radiation and/orcontrast agents. Wth respect to lymph node diagnostics and mapping, asurgical visualization platform may preoperatively locate, map, andideally diagnose the lymph system and/or lymph nodes involved incancerous diagnosis and staging, for example.

During a surgical procedure, the information available to the clinicianvia the “naked eye” and/or an imaging system may provide an incompleteview of the surgical site. For example, certain structures, such asstructures embedded or buried within an organ, can be at least partiallyconcealed or hidden from view. Additionally, certain dimensions and/orrelative distances can be difficult to ascertain with existing sensorsystems and/or difficult for the “naked eye” to perceive. Moreover,certain structures can move preoperatively (e.g. before a surgicalprocedure but after a preoperative scan) and/or intraoperatively. Insuch instances, the clinician can be unable to accurately determine thelocation of a critical structure intraoperatively.

When the position of a critical structure is uncertain and/or when theproximity between the critical structure and a surgical tool is unknown,a clinician's decision-making process can be inhibited. For example, aclinician may avoid certain areas in order to avoid inadvertentdissection of a critical structure; however, the avoided area may beunnecessarily large and/or at least partially misplaced. Due touncertainty and/or overly/excessive exercises in caution, the clinicianmay not access certain desired regions. For example, excess caution maycause a clinician to leave a portion of a tumor and/or other undesirabletissue in an effort to avoid a critical structure even if the criticalstructure is not in the particular area and/or would not be negativelyimpacted by the clinician working in that particular area. In certaininstances, surgical results can be improved with increased knowledgeand/or certainty, which can allow a surgeon to be more accurate and, incertain instances, less conservative/more aggressive with respect toparticular anatomical areas.

In various aspects, the present disclosure provides a surgicalvisualization system for intraoperative identification and avoidance ofcritical structures. In one aspect, the present disclosure provides asurgical visualization system that enables enhanced intraoperativedecision making and improved surgical outcomes. In various aspects, thedisclosed surgical visualization system provides advanced visualizationcapabilities beyond what a clinician sees with the “naked eye” and/orbeyond what an imaging system can recognize and/or convey to theclinician. The various surgical visualization systems can augment andenhance what a clinician is able to know prior to tissue treatment (e.g.dissection) and, thus, may improve outcomes in various instances.

For example, a visualization system can include a first light emitterconfigured to emit a plurality of spectral waves, a second light emitterconfigured to emit a light pattern, and one or more receivers, orsensors, configured to detect visible light, molecular responses to thespectral waves (spectral imaging), and/or the light pattern. It shouldbe noted that throughout the following disclosure, any reference to“light,” unless specifically in reference to visible light, can includeelectromagnetic radiation (EMR) or photons in the visible and/ornon-visible portions of the EMR wavelength spectrum. The surgicalvisualization system can also include an imaging system and a controlcircuit in signal communication with the receiver(s) and the imagingsystem. Based on output from the receiver(s), the control circuit candetermine a geometric surface map, i.e. three-dimensional surfacetopography, of the visible surfaces at the surgical site and one or moredistances with respect to the surgical site. In certain instances, thecontrol circuit can determine one more distances to an at leastpartially concealed structure. Moreover, the imaging system can conveythe geometric surface map and the one or more distances to a clinician.In such instances, an augmented view of the surgical site provided tothe clinician can provide a representation of the concealed structurewithin the relevant context of the surgical site. For example, theimaging system can virtually augment the concealed structure on thegeometric surface map of the concealing and/or obstructing tissuesimilar to a line drawn on the ground to indicate a utility line belowthe surface. Additionally or alternatively, the imaging system canconvey the proximity of one or more surgical tools to the visible andobstructing tissue and/or to the at least partially concealed structureand/or the depth of the concealed structure below the visible surface ofthe obstructing tissue. For example, the visualization system candetermine a distance with respect to the augmented line on the surfaceof the visible tissue and convey the distance to the imaging system.

In various aspects of the present disclosure, a surgical visualizationsystem is disclosed for intraoperative identification and avoidance ofcritical structures. Such a surgical visualization system can providevaluable information to a clinician during a surgical procedure. As aresult, the clinician can confidently maintain momentum throughout thesurgical procedure knowing that the surgical visualization system istracking a critical structure such as a ureter, specific nerves, and/orcritical blood vessels, for example, which may be approached duringdissection, for example. In one aspect, the surgical visualizationsystem can provide an indication to the clinician in sufficient time forthe clinician to pause and/or slow down the surgical procedure andevaluate the proximity to the critical structure to prevent inadvertentdamage thereto. The surgical visualization system can provide an ideal,optimized, and/or customizable amount of information to the clinician toallow the clinician to move confidently and/or quickly through tissuewhile avoiding inadvertent damage to healthy tissue and/or criticalstructure(s) and, thus, to minimize the risk of harm resulting from thesurgical procedure.

FIG. 1 is a schematic of a surgical visualization system 100 accordingto at least one aspect of the present disclosure. The surgicalvisualization system 100 can create a visual representation of acritical structure 101 within an anatomical field. The surgicalvisualization system 100 can be used for clinical analysis and/ormedical intervention, for example. In certain instances, the surgicalvisualization system 100 can be used intraoperatively to providereal-time, or near real-time, information to the clinician regardingproximity data, dimensions, and/or distances during a surgicalprocedure. The surgical visualization system 100 is configured forintraoperative identification of critical structure(s) and/or tofacilitate the avoidance of the critical structure(s) 101 by a surgicaldevice. For example, by identifying the critical structure 101, aclinician can avoid maneuvering a surgical device around the criticalstructure 101 and/or a region in a predefined proximity of the criticalstructure 101 during a surgical procedure. The clinician can avoiddissection of and/or near a vein, artery, nerve, and/or vessel, forexample, identified as the critical structure 101, for example. Invarious instances, the critical structure 101 can be determined on apatient-by-patient and/or a procedure-by-procedure basis.

The surgical visualization system 100 incorporates tissue identificationand geometric surface mapping in combination with a distance sensorsystem 104. In combination, these features of the surgical visualizationsystem 100 can determine a position of a critical structure 101 withinthe anatomical field and/or the proximity of a surgical device 102 tothe surface 105 of the visible tissue and/or to the critical structure101. Moreover, the surgical visualization system 100 includes an imagingsystem that includes an imaging device 120, such as a camera, forexample, configured to provide real-time views of the surgical site. Invarious instances, the imaging device 120 is a spectral camera (e.g. ahyperspectral camera, multispectral camera, or selective spectralcamera), which is configured to detect reflected spectral waveforms andgenerate a spectral cube of images based on the molecular response tothe different wavelengths. Views from the imaging device 120 can beprovided to a clinician and, in various aspects of the presentdisclosure, can be augmented with additional information based on thetissue identification, landscape mapping, and the distance sensor system104. In such instances, the surgical visualization system 100 includes aplurality of subsystems—an imaging subsystem, a surface mappingsubsystem, a tissue identification subsystem, and/or a distancedetermining subsystem. These subsystems can cooperate tointra-operatively provide advanced data synthesis and integratedinformation to the clinician(s).

The imaging device can include a camera or imaging sensor that isconfigured to detect visible light, spectral light waves (visible orinvisible), and a structured light pattern (visible or invisible), forexample. In various aspects of the present disclosure, the imagingsystem can include an imaging device such as an endoscope, for example.Additionally or alternatively, the imaging system can include an imagingdevice such as an arthroscope, angioscope, bronchoscope,choledochoscope, colonoscope, cytoscope, duodenoscope, enteroscope,esophagogastro-duodenoscope (gastroscope), laryngoscope,nasopharyngo-neproscope, sigmoidoscope, thoracoscope, ureteroscope, orexoscope, for example. In other instances, such as in open surgeryapplications, the imaging system may not include a scope.

In various aspects of the present disclosure, the tissue identificationsubsystem can be achieved with a spectral imaging system. The spectralimaging system can rely on hyperspectral imaging, multispectral imaging,or selective spectral imaging, for example. Hyperspectral imaging oftissue is further described in U.S. Pat. No. 9,274,047, titled SYSTEMAND METHOD FOR GROSS ANATOMIC PATHOLOGY USING HYPERSPECTRAL IMAGING,issued Mar. 1, 2016, which is incorporated by reference herein in itsentirety.

In various aspect of the present disclosure, the surface mappingsubsystem can be achieved with a light pattern system, as furtherdescribed herein. The use of a light pattern (or structured light) forsurface mapping is known. Known surface mapping techniques can beutilized in the surgical visualization systems described herein.

Structured light is the process of projecting a known pattern (often agrid or horizontal bars) on to a surface. U.S. Patent ApplicationPublication No. 2017/0055819, titled SET COMPRISING A SURGICALINSTRUMENT, published Mar. 2, 2017, and U.S. Patent ApplicationPublication No. 2017/0251900, titled DEPICTION SYSTEM, published Sep. 7,2017, disclose a surgical system comprising a light source and aprojector for projecting a light pattern. U.S. Patent ApplicationPublication No. 2017/0055819, titled SET COMPRISING A SURGICALINSTRUMENT, published Mar. 2, 2017, and U.S. Patent ApplicationPublication No. 2017/0251900, titled DEPICTION SYSTEM, published Sep. 7,2017, are incorporated by reference herein in their respectiveentireties.

In various aspects of the present disclosure, the distance determiningsystem can be incorporated into the surface mapping system. For example,structured light can be utilized to generate a three-dimensional virtualmodel of the visible surface and determine various distances withrespect to the visible surface. Additionally or alternatively, thedistance determining system can rely on time-of-flight measurements todetermine one or more distances to the identified tissue (or otherstructures) at the surgical site.

FIG. 2 is a schematic diagram of a control system 133, which can beutilized with the surgical visualization system 100. The control system133 includes a control circuit 132 in signal communication with a memory134. The memory 134 stores instructions executable by the controlcircuit 132 to determine and/or recognize critical structures (e.g. thecritical structure 101 in FIG. 1), determine and/or compute one or moredistances and/or three-dimensional digital representations, and tocommunicate certain information to one or more clinicians. For example,the memory 134 stores surface mapping logic 136, imaging logic 138,tissue identification logic 140, or distance determining logic 141 orany combinations of the logic 136, 138, 140, and 141. The control system133 also includes an imaging system 142 having one or more cameras 144(like the imaging device 120 in FIG. 1), one or more displays 146, orone or more controls 148 or any combinations of these elements. Thecamera 144 can include one or more image sensors 135 to receive signalsfrom various light sources emitting light at various visible andinvisible spectra (e.g. visible light, spectral imagers,three-dimensional lens, among others). The display 146 can include oneor more screens or monitors for depicting real, virtual, and/orvirtually-augmented images and/or information to one or more clinicians.

In various aspects, the heart of the camera 144 is the image sensor 135.Generally, modern image sensors 135 are solid-state electronic devicescontaining up to millions of discrete photodetector sites called pixels.The image sensor 135 technology falls into one of two categories:Charge-Coupled Device (CCD) and Complementary Metal Oxide Semiconductor(CMOS) imagers and more recently, short-wave infrared (SWIR) is anemerging technology in imaging. Another type of image sensor 135 employsa hybrid CCD/CMOS architecture (sold under the name “sCMOS”) andconsists of CMOS readout integrated circuits (ROICs) that are bumpbonded to a CCD imaging substrate. CCD and CMOS image sensors 135 aresensitive to wavelengths from approximately 350-1050 nm, although therange is usually given from 400-1000 nm. CMOS sensors are, in general,more sensitive to IR wavelengths than CCD sensors. Solid state imagesensors 135 are based on the photoelectric effect and, as a result,cannot distinguish between colors. Accordingly, there are two types ofcolor CCD cameras: single chip and three-chip. Single chip color CCDcameras offer a common, low-cost imaging solution and use a mosaic (e.g.Bayer) optical filter to separate incoming light into a series of colorsand employ an interpolation algorithm to resolve full color images. Eachcolor is, then, directed to a different set of pixels. Three-chip colorCCD cameras provide higher resolution by employing a prism to directeach section of the incident spectrum to a different chip. More accuratecolor reproduction is possible, as each point in space of the object hasseparate RGB intensity values, rather than using an algorithm todetermine the color. Three-chip cameras offer extremely highresolutions.

The control system 133 also includes a spectral light source 150 and astructured light source 152. In certain instances, a single source canbe pulsed to emit wavelengths of light in the spectral light source 150range and wavelengths of light in the structured light source 152 range.Alternatively, a single light source can be pulsed to provide light inthe invisible spectrum (e.g. infrared spectral light) and wavelengths oflight on the visible spectrum. The spectral light source 150 can be ahyperspectral light source, a multispectral light source, and/or aselective spectral light source, for example. In various instances, thetissue identification logic 140 can identify critical structure(s) viadata from the spectral light source 150 received by the image sensor 135portion of the camera 144. The surface mapping logic 136 can determinethe surface contours of the visible tissue based on reflected structuredlight. With time-of-flight measurements, the distance determining logic141 can determine one or more distance(s) to the visible tissue and/orthe critical structure 101. One or more outputs from the surface mappinglogic 136, the tissue identification logic 140, and the distancedetermining logic 141, can be provided to the imaging logic 138, andcombined, blended, and/or overlaid to be conveyed to a clinician via thedisplay 146 of the imaging system 142.

The description now turns briefly to FIGS. 2A-2C to describe variousaspects of the control circuit 132 for controlling various aspects ofthe surgical visualization system 100. Turning to FIG. 2A, there isillustrated a control circuit 400 configured to control aspects of thesurgical visualization system 100, according to at least one aspect ofthis disclosure. The control circuit 400 can be configured to implementvarious processes described herein. The control circuit 400 may comprisea microcontroller comprising one or more processors 402 (e.g.,microprocessor, microcontroller) coupled to at least one memory circuit404. The memory circuit 404 stores machine-executable instructions that,when executed by the processor 402, cause the processor 402 to executemachine instructions to implement various processes described herein.The processor 402 may be any one of a number of single-core or multicoreprocessors known in the art. The memory circuit 404 may comprisevolatile and non-volatile storage media. The processor 402 may includean instruction processing unit 406 and an arithmetic unit 408. Theinstruction processing unit may be configured to receive instructionsfrom the memory circuit 404 of this disclosure.

FIG. 2B illustrates a combinational logic circuit 410 configured tocontrol aspects of the surgical visualization system 100, according toat least one aspect of this disclosure. The combinational logic circuit410 can be configured to implement various processes described herein.The combinational logic circuit 410 may comprise a finite state machinecomprising a combinational logic 412 configured to receive dataassociated with the surgical instrument or tool at an input 414, processthe data by the combinational logic 412, and provide an output 416.

FIG. 2C illustrates a sequential logic circuit 420 configured to controlaspects of the surgical visualization system 100, according to at leastone aspect of this disclosure. The sequential logic circuit 420 or thecombinational logic 422 can be configured to implement various processesdescribed herein. The sequential logic circuit 420 may comprise a finitestate machine. The sequential logic circuit 420 may comprise acombinational logic 422, at least one memory circuit 424, and a clock429, for example. The at least one memory circuit 424 can store acurrent state of the finite state machine. In certain instances, thesequential logic circuit 420 may be synchronous or asynchronous. Thecombinational logic 422 is configured to receive data associated with asurgical device or system from an input 426, process the data by thecombinational logic 422, and provide an output 428. In other aspects,the circuit may comprise a combination of a processor (e.g., processor402 in FIG. 2A) and a finite state machine to implement variousprocesses herein. In other aspects, the finite state machine maycomprise a combination of a combinational logic circuit (e.g.,combinational logic circuit 410, FIG. 2B) and the sequential logiccircuit 420.

Referring again to the surgical visualization system 100 in FIG. 1, thecritical structure 101 can be an anatomical structure of interest. Forexample, the critical structure 101 can be a ureter, an artery such as asuperior mesenteric artery, a vein such as a portal vein, a nerve suchas a phrenic nerve, and/or a tumor, among other anatomical structures.In other instances, the critical structure 101 can be a foreignstructure in the anatomical field, such as a surgical device, surgicalfastener, clip, tack, bougie, band, and/or plate, for example. Examplecritical structures are further described herein and in theaforementioned U.S. patent applications, including U.S. patentapplication Ser. No. 16/128,192, titled VISUALIZATION OF SURGICALDEVICES, filed Sep. 11, 2018, for example, which are incorporated byreference herein in their respective entireties.

In one aspect, the critical structure 101 may be embedded in tissue 103.Stated differently, the critical structure 101 may be positioned belowthe surface 105 of the tissue 103. In such instances, the tissue 103conceals the critical structure 101 from the clinician's view. Thecritical structure 101 is also obscured from the view of the imagingdevice 120 by the tissue 103. The tissue 103 can be fat, connectivetissue, adhesions, and/or organs, for example. In other instances, thecritical structure 101 can be partially obscured from view.

FIG. 1 also depicts the surgical device 102. The surgical device 102includes an end effector having opposing jaws extending from the distalend of the shaft of the surgical device 102. The surgical device 102 canbe any suitable surgical device such as, for example, a dissector, astapler, a grasper, a clip applier, and/or an energy device includingmono-polar probes, bi-polar probes, ablation probes, and/or anultrasonic end effector. Additionally or alternatively, the surgicaldevice 102 can include another imaging or diagnostic modality, such asan ultrasound device, for example. In one aspect of the presentdisclosure, the surgical visualization system 100 can be configured toachieve identification of one or more critical structures 101 and theproximity of the surgical device 102 to the critical structure(s) 101.

The imaging device 120 of the surgical visualization system 100 isconfigured to detect light at various wavelengths, such as, for example,visible light, spectral light waves (visible or invisible), and astructured light pattern (visible or invisible). The imaging device 120may include a plurality of lenses, sensors, and/or receivers fordetecting the different signals. For example, the imaging device 120 canbe a hyperspectral, multispectral, or selective spectral camera, asfurther described herein. The imaging device 120 can also include awaveform sensor 122 (such as a spectral image sensor, detector, and/orthree-dimensional camera lens). For example, the imaging device 120 caninclude a right-side lens and a left-side lens used together to recordtwo two-dimensional images at the same time and, thus, generate athree-dimensional image of the surgical site, render a three-dimensionalimage of the surgical site, and/or determine one or more distances atthe surgical site. Additionally or alternatively, the imaging device 120can be configured to receive images indicative of the topography of thevisible tissue and the identification and position of hidden criticalstructures, as further described herein. For example, the field of viewof the imaging device 120 can overlap with a pattern of light(structured light) on the surface 105 of the tissue, as shown in FIG. 1.

In one aspect, the surgical visualization system 100 may be incorporatedinto a robotic system 110. For example, the robotic system 110 mayinclude a first robotic arm 112 and a second robotic arm 114. Therobotic arms 112, 114 include rigid structural members 116 and joints118, which can include servomotor controls. The first robotic arm 112 isconfigured to maneuver the surgical device 102, and the second roboticarm 114 is configured to maneuver the imaging device 120. A roboticcontrol unit can be configured to issue control motions to the roboticarms 112, 114, which can affect the surgical device 102 and the imagingdevice 120, for example.

The surgical visualization system 100 also includes an emitter 106,which is configured to emit a pattern of light, such as stripes, gridlines, and/or dots, to enable the determination of the topography orlandscape of the surface 105. For example, projected light arrays 130can be used for three-dimensional scanning and registration on thesurface 105. The projected light arrays 130 can be emitted from theemitter 106 located on the surgical device 102 and/or one of the roboticarms 112, 114 and/or the imaging device 120, for example. In one aspect,the projected light array 130 is employed to determine the shape definedby the surface 105 of the tissue 103 and/or the motion of the surface105 intraoperatively. The imaging device 120 is configured to detect theprojected light arrays 130 reflected from the surface 105 to determinethe topography of the surface 105 and various distances with respect tothe surface 105.

In one aspect, the imaging device 120 also may include an opticalwaveform emitter 123 that is configured to emit electromagneticradiation 124 (NIR photons) that can penetrate the surface 105 of thetissue 103 and reach the critical structure 101. The imaging device 120and the optical waveform emitter 123 thereon can be positionable by therobotic arm 114. A corresponding waveform sensor 122 (an image sensor,spectrometer, or vibrational sensor, for example) on the imaging device120 is configured to detect the effect of the electromagnetic radiationreceived by the waveform sensor 122. The wavelengths of theelectromagnetic radiation 124 emitted by the optical waveform emitter123 can be configured to enable the identification of the type ofanatomical and/or physical structure, such as the critical structure101. The identification of the critical structure 101 can beaccomplished through spectral analysis, photo-acoustics, and/orultrasound, for example. In one aspect, the wavelengths of theelectromagnetic radiation 124 may be variable. The waveform sensor 122and optical waveform emitter 123 may be inclusive of a multispectralimaging system and/or a selective spectral imaging system, for example.In other instances, the waveform sensor 122 and optical waveform emitter123 may be inclusive of a photoacoustic imaging system, for example. Inother instances, the optical waveform emitter 123 can be positioned on aseparate surgical device from the imaging device 120.

The surgical visualization system 100 also may include the distancesensor system 104 configured to determine one or more distances at thesurgical site. In one aspect, the time-of-flight distance sensor system104 may be a time-of-flight distance sensor system that includes anemitter, such as the emitter 106, and a receiver 108, which can bepositioned on the surgical device 102. In other instances, thetime-of-flight emitter can be separate from the structured lightemitter. In one general aspect, the emitter 106 portion of thetime-of-flight distance sensor system 104 may include a very tiny lasersource and the receiver 108 portion of the time-of-flight distancesensor system 104 may include a matching sensor. The time-of-flightdistance sensor system 104 can detect the “time of flight,” or how longthe laser light emitted by the emitter 106 has taken to bounce back tothe sensor portion of the receiver 108. Use of a very narrow lightsource in the emitter 106 enables the distance sensor system 104 todetermining the distance to the surface 105 of the tissue 103 directlyin front of the distance sensor system 104. Referring still to FIG. 1,d_(e) is the emitter-to-tissue distance from the emitter 106 to thesurface 105 of the tissue 103 and d_(t) is the device-to-tissue distancefrom the distal end of the surgical device 102 to the surface 105 of thetissue. The distance sensor system 104 can be employed to determine theemitter-to-tissue distance d_(e). The device-to-tissue distance d_(t) isobtainable from the known position of the emitter 106 on the shaft ofthe surgical device 102 relative to the distal end of the surgicaldevice 102. In other words, when the distance between the emitter 106and the distal end of the surgical device 102 is known, thedevice-to-tissue distance d_(t) can be determined from theemitter-to-tissue distance d_(e). In certain instances, the shaft of thesurgical device 102 can include one or more articulation joints, and canbe articulatable with respect to the emitter 106 and the jaws. Thearticulation configuration can include a multi-joint vertebrae-likestructure, for example. In certain instances, a three-dimensional cameracan be utilized to triangulate one or more distances to the surface 105.

In various instances, the receiver 108 for the time-of-flight distancesensor system 104 can be mounted on a separate surgical device insteadof the surgical device 102. For example, the receiver 108 can be mountedon a cannula or trocar through which the surgical device 102 extends toreach the surgical site. In still other instances, the receiver 108 forthe time-of-flight distance sensor system 104 can be mounted on aseparate robotically-controlled arm (e.g. the robotic arm 114), on amovable arm that is operated by another robot, and/or to an operatingroom (OR) table or fixture. In certain instances, the imaging device 120includes the time-of-flight receiver 108 to determine the distance fromthe emitter 106 to the surface 105 of the tissue 103 using a linebetween the emitter 106 on the surgical device 102 and the imagingdevice 120. For example, the distance d_(e) can be triangulated based onknown positions of the emitter 106 (on the surgical device 102) and thereceiver 108 (on the imaging device 120) of the time-of-flight distancesensor system 104. The three-dimensional position of the receiver 108can be known and/or registered to the robot coordinate planeintraoperatively.

In certain instances, the position of the emitter 106 of thetime-of-flight distance sensor system 104 can be controlled by the firstrobotic arm 112 and the position of the receiver 108 of thetime-of-flight distance sensor system 104 can be controlled by thesecond robotic arm 114. In other instances, the surgical visualizationsystem 100 can be utilized apart from a robotic system. In suchinstances, the distance sensor system 104 can be independent of therobotic system.

In certain instances, one or more of the robotic arms 112, 114 may beseparate from a main robotic system used in the surgical procedure. Atleast one of the robotic arms 112, 114 can be positioned and registeredto a particular coordinate system without a servomotor control. Forexample, a closed-loop control system and/or a plurality of sensors forthe robotic arms 110 can control and/or register the position of therobotic arm(s) 112, 114 relative to the particular coordinate system.Similarly, the position of the surgical device 102 and the imagingdevice 120 can be registered relative to a particular coordinate system.

Referring still to FIG. 1, d_(w) is the camera-to-critical structuredistance from the optical waveform emitter 123 located on the imagingdevice 120 to the surface of the critical structure 101, and d_(A) isthe depth of the critical structure 101 below the surface 105 of thetissue 103 (i.e., the distance between the portion of the surface 105closest to the surgical device 102 and the critical structure 101). Invarious aspects, the time-of-flight of the optical waveforms emittedfrom the optical waveform emitter 123 located on the imaging device 120can be configured to determine the camera-to-critical structure distanced_(w). The use of spectral imaging in combination with time-of-flightsensors is further described herein. Moreover, referring now to FIG. 3,in various aspects of the present disclosure, the depth d_(A) of thecritical structure 101 relative to the surface 105 of the tissue 103 canbe determined by triangulating from the distance d_(w) and knownpositions of the emitter 106 on the surgical device 102 and the opticalwaveform emitter 123 on the imaging device 120 (and, thus, the knowndistance d_(x) therebetween) to determine the distance d_(y), which isthe sum of the distances d_(e) and d_(A).

Additionally or alternatively, time-of-flight from the optical waveformemitter 123 can be configured to determine the distance from the opticalwaveform emitter 123 to the surface 105 of the tissue 103. For example,a first waveform (or range of waveforms) can be utilized to determinethe camera-to-critical structure distance d_(w) and a second waveform(or range of waveforms) can be utilized to determine the distance to thesurface 105 of the tissue 103. In such instances, the differentwaveforms can be utilized to determine the depth of the criticalstructure 101 below the surface 105 of the tissue 103.

Additionally or alternatively, in certain instances, the distance d_(A)can be determined from an ultrasound, a registered magnetic resonanceimaging (MRI) or computerized tomography (CT) scan. In still otherinstances, the distance d_(A) can be determined with spectral imagingbecause the detection signal received by the imaging device can varybased on the type of material. For example, fat can decrease thedetection signal in a first way, or a first amount, and collagen candecrease the detection signal in a different, second way, or a secondamount.

Referring now to a surgical visualization system 160 in FIG. 4, in whicha surgical device 162 includes the optical waveform emitter 123 and thewaveform sensor 122 that is configured to detect the reflectedwaveforms. The optical waveform emitter 123 can be configured to emitwaveforms for determining the distances d_(t) and d_(w) from a commondevice, such as the surgical device 162, as further described herein. Insuch instances, the distance d_(A) from the surface 105 of the tissue103 to the surface of the critical structure 101 can be determined asfollows:

d _(A) =d _(w) −d _(t).

As disclosed herein, various information regarding visible tissue,embedded critical structures, and surgical devices can be determined byutilizing a combination approach that incorporates one or moretime-of-flight distance sensors, spectral imaging, and/or structuredlight arrays in combination with an image sensor configured to detectthe spectral wavelengths and the structured light arrays. Moreover, theimage sensor can be configured to receive visible light and, thus,provide images of the surgical site to an imaging system. Logic oralgorithms are employed to discern the information received from thetime-of-flight sensors, spectral wavelengths, structured light, andvisible light and render three-dimensional images of the surface tissueand underlying anatomical structures. In various instances, the imagingdevice 120 can include multiple image sensors.

The camera-to-critical structure distance d_(w) can also be detected inone or more alternative ways. In one aspect, a fluoroscopy visualizationtechnology, such as fluorescent indosciedine green (ICG), for example,can be utilized to illuminate a critical structure 201, as shown inFIGS. 6-8. A camera 220 can include two optical waveforms sensors 222,224, which take simultaneous left-side and right-side images of thecritical structure 201 (FIGS. 7A and 7B). In such instances, the camera220 can depict a glow of the critical structure 201 below the surface205 of the tissue 203, and the distance d_(w) can be determined by theknown distance between the sensors 222 and 224. In certain instances,distances can be determined more accurately by utilizing more than onecamera or by moving a camera between multiple locations. In certainaspects, one camera can be controlled by a first robotic arm and asecond camera by another robotic arm. In such a robotic system, onecamera can be a follower camera on a follower arm, for example. Thefollower arm, and camera thereon, can be programmed to track the othercamera and to maintain a particular distance and/or lens angle, forexample.

In still other aspects, the surgical visualization system 100 may employtwo separate waveform receivers (i.e. cameras/image sensors) todetermine d_(w). Referring now to FIG. 9, if a critical structure 301 orthe contents thereof (e.g. a vessel or the contents of the vessel) canemit a signal 302, such as with fluoroscopy, then the actual locationcan be triangulated from two separate cameras 320 a, 320 b at knownlocations.

In another aspect, referring now to FIGS. 10A and 10B, a surgicalvisualization system may employ a dithering or moving camera 440 todetermine the distance d_(w). The camera 440 is robotically-controlledsuch that the three-dimensional coordinates of the camera 440 at thedifferent positions are known. In various instances, the camera 440 canpivot at a cannula or patient interface. For example, if a criticalstructure 401 or the contents thereof (e.g. a vessel or the contents ofthe vessel) can emit a signal, such as with fluoroscopy, for example,then the actual location can be triangulated from the camera 440 movedrapidly between two or more known locations. In FIG. 10A, the camera 440is moved axially along an axis A. More specifically, the camera 440translates a distance d₁ closer to the critical structure 401 along theaxis A to the location indicated as a location 440′, such as by movingin and out on a robotic arm. As the camera 440 moves the distance d₁ andthe size of view change with respect to the critical structure 401, thedistance to the critical structure 401 can be calculated. For example, a4.28 mm axial translation (the distance d₁) can correspond to an angleθ₁ of 6.28 degrees and an angle θ₂ of 8.19 degrees. Additionally oralternatively, the camera 440 can rotate or sweep along an arc betweendifferent positions. Referring now to FIG. 10B, the camera 440 is movedaxially along the axis A and is rotated an angle θ₃ about the axis A. Apivot point 442 for rotation of the camera 440 is positioned at thecannula/patient interface. In FIG. 10B, the camera 440 is translated androtated to a location 440″. As the camera 440 moves and the edge of viewchanges with respect to the critical structure 401, the distance to thecritical structure 401 can be calculated. In FIG. 10B, a distance d₂ canbe 9.01 mm, for example, and the angle θ₃ can be 0.9 degrees, forexample.

FIG. 5 depicts a surgical visualization system 500, which is similar tothe surgical visualization system 100 in many respects. In variousinstances, the surgical visualization system 500 can be a furtherexemplification of the surgical visualization system 100. Similar to thesurgical visualization system 100, the surgical visualization system 500includes a surgical device 502 and an imaging device 520. The imagingdevice 520 includes a spectral light emitter 523, which is configured toemit spectral light in a plurality of wavelengths to obtain a spectralimage of hidden structures, for example. The imaging device 520 can alsoinclude a three-dimensional camera and associated electronic processingcircuits in various instances. The surgical visualization system 500 isshown being utilized intraoperatively to identify and facilitateavoidance of certain critical structures, such as a ureter 501 a andvessels 501 b in an organ 503 (the uterus in this example), that are notvisible on the surface.

The surgical visualization system 500 is configured to determine anemitter-to-tissue distance d_(e) from an emitter 506 on the surgicaldevice 502 to a surface 505 of the uterus 503 via structured light. Thesurgical visualization system 500 is configured to extrapolate adevice-to-tissue distance d_(t) from the surgical device 502 to thesurface 505 of the uterus 503 based on the emitter-to-tissue distanced_(e). The surgical visualization system 500 is also configured todetermine a tissue-to-ureter distance d_(A) from the ureter 501 a to thesurface 505 and a camera-to ureter distance d_(w) from the imagingdevice 520 to the ureter 501 a. As described herein with respect to FIG.1, for example, the surgical visualization system 500 can determine thedistance d_(w) with spectral imaging and time-of-flight sensors, forexample. In various instances, the surgical visualization system 500 candetermine (e.g. triangulate) the tissue-to-ureter distance d_(A) (ordepth) based on other distances and/or the surface mapping logicdescribed herein.

Referring now to FIG. 11, where a schematic of a control system 600 forasurgical visualization system, such as the surgical visualization system100, for example, is depicted. The control system 600 is a conversionsystem that integrates spectral signature tissue identification andstructured light tissue positioning to identify critical structures,especially when those structures are obscured by other tissue, such asfat, connective tissue, blood, and/or other organs, for example. Suchtechnology could also be useful for detecting tissue variability, suchas differentiating tumors and/or non-healthy tissue from healthy tissuewithin an organ.

The control system 600 is configured for implementing a hyperspectralimaging and visualization system in which a molecular response isutilized to detect and identify anatomy in a surgical field of view. Thecontrol system 600 includes a conversion logic circuit 648 to converttissue data to surgeon usable information. For example, the variablereflectance based on wavelengths with respect to obscuring material canbe utilized to identify the critical structure in the anatomy. Moreover,the control system 600 combines the identified spectral signature andthe structural light data in an image. For example, the control system600 can be employed to create of three-dimensional data set for surgicaluse in a system with augmentation image overlays. Techniques can beemployed both intraoperatively and preoperatively using additionalvisual information. In various instances, the control system 600 isconfigured to provide warnings to a clinician when in the proximity ofone or more critical structures. Various algorithms can be employed toguide robotic automation and semi-automated approaches based on thesurgical procedure and proximity to the critical structure(s).

A projected array of lights is employed to determine tissue shape andmotion intraoperatively. Alternatively, flash Lidar may be utilized forsurface mapping of the tissue.

The control system 600 is configured to detect the critical structure(s)and provide an image overlay of the critical structure and measure thedistance to the surface of the visible tissue and the distance to theembedded/buried critical structure(s). In other instances, the controlsystem 600 can measure the distance to the surface of the visible tissueor detect the critical structure(s) and provide an image overlay of thecritical structure.

The control system 600 includes a spectral control circuit 602. Thespectral control circuit 602 can be a field programmable gate array(FPGA) or another suitable circuit configuration as described herein inconnection with FIGS. 2A-2C, for example. The spectral control circuit602 includes a processor 604 to receive video input signals from a videoinput processor 606. The processor 604 can be configured forhyperspectral processing and can utilize C/C++ code, for example. Thevideo input processor 606 receives video-in of control (metadata) datasuch as shutter time, wave length, and sensor analytics, for example.The processor 604 is configured to process the video input signal fromthe video input processor 606 and provide a video output signal to avideo output processor 608, which includes a hyperspectral video-out ofinterface control (metadata) data, for example. The video outputprocessor 608 provides the video output signal to an image overlaycontroller 610.

The video input processor 606 is coupled to a camera 612 at the patientside via a patient isolation circuit 614. As previously discussed, thecamera 612 includes a solid state image sensor 634. The patientisolation circuit can include a plurality of transformers so that thepatient is isolated from other circuits in the system. The camera 612receives intraoperative images through optics 632 and the image sensor634. The image sensor 634 can include a CMOS image sensor, for example,or may include any of the image sensor technologies discussed herein inconnection with FIG. 2, for example. In one aspect, the camera 612outputs images in 14 bit/pixel signals. It will be appreciated thathigher or lower pixel resolutions may be employed without departing fromthe scope of the present disclosure. The isolated camera output signal613 is provided to a color RGB fusion circuit 616, which employs ahardware register 618 and a Nios2 co-processor 620 to process the cameraoutput signal 613. A color RGB fusion output signal is provided to thevideo input processor 606 and a laser pulsing control circuit 622.

The laser pulsing control circuit 622 controls a laser light engine 624.The laser light engine 624 outputs light in a plurality of wavelengths(λ₁, λ₂, λ₃ . . . λ_(n)) including near infrared (NIR). The laser lightengine 624 can operate in a plurality of modes. In one aspect, the laserlight engine 624 can operate in two modes, for example. In a first mode,e.g. a normal operating mode, the laser light engine 624 outputs anilluminating signal. In a second mode, e.g. an identification mode, thelaser light engine 624 outputs RGBG and NIR light. In various instances,the laser light engine 624 can operate in a polarizing mode.

Light output 626 from the laser light engine 624 illuminates targetedanatomy in an intraoperative surgical site 627. The laser pulsingcontrol circuit 622 also controls a laser pulse controller 628 for alaser pattern projector 630 that projects a laser light pattern 631,such as a grid or pattern of lines and/or dots, at a predeterminedwavelength (λ₂) on the operative tissue or organ at the surgical site627. The camera 612 receives the patterned light as well as thereflected light output through the camera optics 632. The image sensor634 converts the received light into a digital signal.

The color RGB fusion circuit 616 also outputs signals to the imageoverlay controller 610 and a video input module 636 for reading thelaser light pattern 631 projected onto the targeted anatomy at thesurgical site 627 by the laser pattern projector 630. A processingmodule 638 processes the laser light pattern 631 and outputs a firstvideo output signal 640 representative of the distance to the visibletissue at the surgical site 627. The data is provided to the imageoverlay controller 610. The processing module 638 also outputs a secondvideo signal 642 representative of a three-dimensional rendered shape ofthe tissue or organ of the targeted anatomy at the surgical site.

The first and second video output signals 640, 642 include datarepresentative of the position of the critical structure on athree-dimensional surface model, which is provided to an integrationmodule 643. In combination with data from the video out processor 608 ofthe spectral control circuit 602, the integration module 643 candetermine the distance d_(A) (FIG. 1) to a buried critical structure(e.g. via triangularization algorithms 644), and the distance d_(A) canbe provided to the image overlay controller 610 via a video outprocessor 646. The foregoing conversion logic can encompass theconversion logic circuit 648 intermediate video monitors 652 and thecamera 624/laser pattern projector 630 positioned at the surgical site627.

Preoperative data 650 from a CT or MRI scan can be employed to registeror align certain three-dimensional deformable tissue in variousinstances. Such preoperative data 650 can be provided to the integrationmodule 643 and ultimately to the image overlay controller 610 so thatsuch information can be overlaid with the views from the camera 612 andprovided to the video monitors 652. Registration of preoperative data isfurther described herein and in the aforementioned U.S. patentapplications, including U.S. patent application Ser. No. 16/128,195,titled INTEGRATION OF IMAGING DATA, filed Sep. 11, 2018, for example,which are incorporated by reference herein in their respectiveentireties.

The video monitors 652 can output the integrated/augmented views fromthe image overlay controller 610. A clinician can select and/or togglebetween different views on one or more monitors. On a first monitor 652a, the clinician can toggle between (A) a view in which athree-dimensional rendering of the visible tissue is depicted and (B) anaugmented view in which one or more hidden critical structures aredepicted over the three-dimensional rendering of the visible tissue. Ona second monitor 652 b, the clinician can toggle on distancemeasurements to one or more hidden critical structures and/or thesurface of visible tissue, for example.

The control system 600 and/or various control circuits thereof can beincorporated into various surgical visualization systems disclosedherein.

FIG. 12 illustrates a structured (or patterned) light system 700,according to at least one aspect of the present disclosure. As describedherein, structured light in the form of stripes or lines, for example,can be projected from a light source and/or projector 706 onto thesurface 705 of targeted anatomy to identify the shape and contours ofthe surface 705. A camera 720, which can be similar in various respectsto the imaging device 120 (FIG. 1), for example, can be configured todetect the projected pattern of light on the surface 705. The way thatthe projected pattern deforms upon striking the surface 705 allowsvision systems to calculate the depth and surface information of thetargeted anatomy.

In certain instances, invisible (or imperceptible) structured light canbe utilized, in which the structured light is used without interferingwith other computer vision tasks for which the projected pattern may beconfusing. For example, infrared light or extremely fast frame rates ofvisible light that alternate between two exact opposite patterns can beutilized to prevent interference. Structured light is further describedat en.wikipedia.org/wiki/Structured_light.

As noted above, the various surgical visualization systems describedherein can be utilized to visualize various different types of tissuesand/or anatomical structures, including tissues and/or anatomicalstructures that may be obscured from being visualized by EMR in thevisible portion of the spectrum. In one aspect, the surgicalvisualization systems can utilize a spectral imaging system to visualizedifferent types of tissues based upon their varying combinations ofconstituent materials. In particular, a spectral imaging system can beconfigured to detect the presence of various constituent materialswithin a tissue being visualized based on the absorption coefficient ofthe tissue across various EMR wavelengths. The spectral imaging systemcan be further configured to characterize the tissue type of the tissuebeing visualized based upon the particular combination of constituentmaterials. To illustrate, FIG. 13A is a graph 2300 depicting how theabsorption coefficient of various biological materials varies across theEMR wavelength spectrum. In the graph 2300, the vertical axis 2303represents absorption coefficient of the biological material (e.g., incm⁻¹) and the horizontal axis 2304 represents EMR wavelength (e.g., inμm). The graph 2300 further illustrates a first line 2310 representingthe absorption coefficient of water at various EMR wavelengths, a secondline 2312 representing the absorption coefficient of protein at variousEMR wavelengths, a third line 2314 representing the absorptioncoefficient of melanin at various EMR wavelengths, a fourth line 2316representing the absorption coefficient of deoxygenated hemoglobin atvarious EMR wavelengths, a fifth line 2318 representing the absorptioncoefficient of oxygenated hemoglobin at various EMR wavelengths, and asixth line 2319 representing the absorption coefficient of collagen atvarious EMR wavelengths. Different tissue types have differentcombinations of constituent materials and, therefore, the tissue type(s)being visualized by a surgical visualization system can be identifiedand differentiated between according to the particular combination ofdetected constituent materials. Accordingly, a spectral imaging systemcan be configured to emit EMR at a number of different wavelengths,determine the constituent materials of the tissue based on the detectedabsorption EMR absorption response at the different wavelengths, andthen characterize the tissue type based on the particular detectedcombination of constituent materials.

An illustration of the utilization of spectral imaging techniques tovisualize different tissue types and/or anatomical structures is shownin FIG. 13B. In FIG. 13B, a spectral emitter 2320 (e.g., spectral lightsource 150) is being utilized by an imaging system to visualize asurgical site 2325. The EMR emitted by the spectral emitter 2320 andreflected from the tissues and/or structures at the surgical site 2325can be received by an image sensor 135 (FIG. 2) to visualize the tissuesand/or structures, which can be either visible (e.g., be located at thesurface of the surgical site 2325) or obscured (e.g., underlay othertissue and/or structures at the surgical site 2325). In this example, animaging system 142 (FIG. 2) can visualize a tumor 2332, an artery 2334,and various abnormalities 2338 (i.e., tissues not confirming to known orexpected spectral signatures) based upon the spectral signaturescharacterized by the differing absorptive characteristics (e.g.,absorption coefficient) of the constituent materials for each of thedifferent tissue/structure types. The visualized tissues and structurescan be displayed on a display screen associated with or coupled to theimaging system 142, such as an imaging system display 146 (FIG. 2), aprimary display 2119 (FIG. 18), a non-sterile display 2109 (FIG. 18), ahub display 2215 (FIG. 19), a device/instrument display 2237 (FIG. 19),and so on.

Further, the imaging system 142 can be configured to tailor or updatethe displayed surgical site visualization according to the identifiedtissue and/or structure types. For example, the imaging system 142 candisplay a margin 2330 a associated with the tumor 2332 being visualizedon a display screen (e.g., display 146). The margin 2330 a can indicatethe area or amount of tissue that should be excised to ensure completeremoval of the tumor 2332. The control system 133 (FIG. 2) can beconfigured to control or update the dimensions of the margin 2330 abased on the tissues and/or structures identified by the imaging system142. In the illustrated example, the imaging system 142 has identifiedmultiple abnormalities 2338 within the FOV. Accordingly, the controlsystem 133 can adjust the displayed margin 2330 a to a first updatedmargin 2330 b having sufficient dimensions to encompass theabnormalities 2338. Further, the imaging system 142 has also identifiedan artery 2334 partially overlapping with the initially displayed margin2330 a (as indicated by the highlighted region 2336 of the artery 2334).Accordingly, the control system 133 can adjust the displayed margin 2330a to a second updated margin 2330 c having sufficient dimensions toencompass the relevant portion of the artery 2334.

Tissues and/or structures can also be imaged or characterized accordingto their reflective characteristics, in addition to or in lieu of theirabsorptive characteristics described above with respect to FIGS. 13A and13B, across the EMR wavelength spectrum. For example, FIGS. 13C-13Eillustrate various graphs of reflectance of different types of tissuesor structures across different EMR wavelengths. FIG. 13C is a graphicalrepresentation 1050 of an illustrative ureter signature versusobscurants. FIG. 13D is a graphical representation 1052 of anillustrative artery signature versus obscurants. FIG. 13E is a graphicalrepresentation 1054 of an illustrative nerve signature versusobscurants. The plots in FIGS. 13C-13E represent reflectance as afunction of wavelength (nm) for the particular structures (ureter,artery, and nerve) relative to the corresponding reflectances of fat,lung tissue, and blood at the corresponding wavelengths. These graphsare simply for illustrative purposes and it should be understood thatother tissues and/or structures could have corresponding detectablereflectance signatures that would allow the tissues and/or structures tobe identified and visualized.

In various instances, select wavelengths for spectral imaging can beidentified and utilized based on the anticipated critical structuresand/or obscurants at a surgical site (i.e., “selective spectral”imaging). By utilizing selective spectral imaging, the amount of timerequired to obtain the spectral image can be minimized such that theinformation can be obtained in real-time, or near real-time, andutilized intraoperatively. In various instances, the wavelengths can beselected by a clinician or by a control circuit based on input by theclinician. In certain instances, the wavelengths can be selected basedon machine learning and/or big data accessible to the control circuitvia a cloud, for example.

The foregoing application of spectral imaging to tissue can be utilizedintraoperatively to measure the distance between a waveform emitter anda critical structure that is obscured by tissue. In one aspect of thepresent disclosure, referring now to FIGS. 14 and 15, a time-of-flightsensor system 1104 utilizing waveforms 1124, 1125 is shown. Thetime-of-flight sensor system 1104 can be incorporated into the surgicalvisualization system 100 (FIG. 1) in certain instances. Thetime-of-flight sensor system 1104 includes a waveform emitter 1106 and awaveform receiver 1108 on the same surgical device 1102. The emittedwave 1124 extends to the critical structure 1101 from the emitter 1106and the received wave 1125 is reflected back to by the receiver 1108from the critical structure 1101. The surgical device 1102 is positionedthrough a trocar 1110 that extends into a cavity 1107 in a patient.

The waveforms 1124, 1125 are configured to penetrate obscuring tissue1103. For example, the wavelengths of the waveforms 1124, 1125 can be inthe NIR or SWIR spectrum of wavelengths. In one aspect, a spectralsignal (e.g. hyperspectral, multispectral, or selective spectral) or aphotoacoustic signal can be emitted from the emitter 1106 and canpenetrate the tissue 1103 in which the critical structure 1101 isconcealed. The emitted waveform 1124 can be reflected by the criticalstructure 1101. The received waveform 1125 can be delayed due to thedistance d between the distal end of the surgical device 1102 and thecritical structure 1101. In various instances, the waveforms 1124, 1125can be selected to target the critical structure 1101 within the tissue1103 based on the spectral signature of the critical structure 1101, asfurther described herein. In various instances, the emitter 1106 isconfigured to provide a binary signal on and off, as shown in FIG. 15,for example, which can be measured by the receiver 1108.

Based on the delay between the emitted wave 1124 and the received wave1125, the time-of-flight sensor system 1104 is configured to determinethe distance d (FIG. 14). A time-of-flight timing diagram 1130 for theemitter 1106 and the receiver 1108 of FIG. 14 is shown in FIG. 15. Thedelay is a function of the distance d and the distance d is given by:

$d = {\frac{ct}{2} \cdot \frac{q_{2}}{q_{1} + q_{2}}}$

where:

c=the speed of light;

t=length of pulse;

q₁=accumulated charge while light is emitted; and

q₂=accumulated charge while light is not being emitted.

As provided herein, the time-of-flight of the waveforms 1124, 1125corresponds to the distance din FIG. 14. In various instances,additional emitters/receivers and/or pulsing signals from the emitter1106 can be configured to emit a non-penetrating signal. Thenon-penetrating tissue can be configured to determine the distance fromthe emitter to the surface 1105 of the obscuring tissue 1103. In variousinstances, the depth of the critical structure 1101 can be determinedby:

d _(A) =d _(w) −d _(t).

where:

d_(A)=the depth of the critical structure 1101;

d_(w)=the distance from the emitter 1106 to the critical structure 1101(din FIG. 14); and

d_(t)=the distance from the emitter 1106 (on the distal end of thesurgical device 1102) to the surface 1105 of the obscuring tissue 1103.

In one aspect of the present disclosure, referring now to FIG. 16, atime-of-flight sensor system 1204 utilizing waves 1224 a, 1224 b, 1224c, 1225 a, 1225 b, 1225 c is shown. The time-of-flight sensor system1204 can be incorporated into the surgical visualization system 100(FIG. 1) in certain instances. The time-of-flight sensor system 1204includes a waveform emitter 1206 and a waveform receiver 1208. Thewaveform emitter 1206 is positioned on a first surgical device 1202 a,and the waveform receiver 1208 is positioned on a second surgical device1202 b. The surgical devices 1202 a, 1202 b are positioned through theirrespective trocars 1210 a, 1210 b, respectively, which extend into acavity 1207 in a patient. The emitted waves 1224 a, 1224 b, 1224 cextend toward a surgical site from the emitter 1206 and the receivedwaves 1225 a, 1225 b, 1225 c are reflected back to the-receiver 1208from various structures and/or surfaces at the surgical site.

The different emitted waves 1224 a, 1224 b, 1224 c are configured totarget different types of material at the surgical site. For example,the wave 1224 a targets the obscuring tissue 1203, the wave 1224 btargets a first critical structure 1201 a (e.g. a vessel), and the wave1224 c targets a second critical structure 1201 b (e.g. a canceroustumor). The wavelengths of the waves 1224 a, 1224 b, 1224 c can be inthe visible light, NIR, or SWIR spectrum of wavelengths. For example,visible light can be reflected off a surface 1205 of the tissue 1203 andNIR and/or SWIR waveforms can be configured to penetrate the surface1205 of the tissue 1203. In various aspects, as described herein, aspectral signal (e.g. hyperspectral, multispectral, or selectivespectral) or a photoacoustic signal can be emitted from the emitter1206. In various instances, the waves 1224 b, 1224 c can be selected totarget the critical structures 1201 a, 1201 b within the tissue 1203based on the spectral signature of the critical structure 1201 a, 1201b, as further described herein. Photoacoustic imaging is furtherdescribed in various U.S. patent applications, which are incorporated byreference herein in the present disclosure.

The emitted waves 1224 a, 1224 b, 1224 c can be reflected off thetargeted material (i.e. the surface 1205, the first critical structure1201 a, and the second structure 1201 b, respectively). The receivedwaveforms 1225 a, 1225 b, 1225 c can be delayed due to the distancesd_(1a), d_(2a), d_(3a), d_(1b), d_(2b), d_(2c) indicated in FIG. 16.

In the time-of-flight sensor system 1204, in which the emitter 1206 andthe receiver 1208 are independently positionable (e.g., on separatesurgical devices 1202 a, 1202 b and/or controlled by separate roboticarms), the various distances d_(1a), d_(2a), d_(3a), d_(1b), d_(2b),d_(2c) can be calculated from the known position of the emitter 1206 andthe receiver 1208. For example, the positions can be known when thesurgical devices 1202 a, 1202 b are robotically-controlled. Knowledge ofthe positions of the emitter 1206 and the receiver 1208, as well as thetime of the photon stream to target a certain tissue and the informationreceived by the receiver 1208 of that particular response can allow adetermination of the distances d_(1a), d_(2a), d_(3a), d_(1b), d₂b,d_(2c). In one aspect, the distance to the obscured critical structures1201 a, 1201 b can be triangulated using penetrating wavelengths.Because the speed of light is constant for any wavelength of visible orinvisible light, the time-of-flight sensor system 1204 can determine thevarious distances.

Referring still to FIG. 16, in various instances, in the view providedto the clinician, the receiver 1208 can be rotated such that the centerof mass of the target structure in the resulting images remainsconstant, i.e., in a plane perpendicular to the axis of a select targetstructures 1203, 1201 a, or 1201 b. Such an orientation can quicklycommunicate one or more relevant distances and/or perspectives withrespect to the critical structure. For example, as shown in FIG. 16, thesurgical site is displayed from a viewpoint in which the criticalstructure 1201 a is perpendicular to the viewing plane (i.e. the vesselis oriented in/out of the page). In various instances, such anorientation can be default setting; however, the view can be rotated orotherwise adjusted by a clinician. In certain instances, the cliniciancan toggle between different surfaces and/or target structures thatdefine the viewpoint of the surgical site provided by the imagingsystem.

In various instances, the receiver 1208 can be mounted on a trocar orcannula, such as the trocar 1210 b, for example, through which thesurgical device 1202 b is positioned. In other instances, the receiver1208 can be mounted on a separate robotic arm for which thethree-dimensional position is known. In various instances, the receiver1208 can be mounted on a movable arm that is separate from the robotthat controls the surgical device 1202 a or can be mounted to anoperating room (OR) table that is intraoperatively registerable to therobot coordinate plane. In such instances, the position of the emitter1206 and the receiver 1208 can be registerable to the same coordinateplane such that the distances can be triangulated from outputs from thetime-of-flight sensor system 1204.

Combining time-of-flight sensor systems and near-infrared spectroscopy(NIRS), termed TOF-NIRS, which is capable of measuring the time-resolvedprofiles of NIR light with nanosecond resolution can be found in thearticle titled TIME-OF-FLIGHT NEAR-INFRARED SPECTROSCOPY FORNONDESTRUCTIVE MEASUREMENT OF INTERNAL QUALITY IN GRAPEFRUIT, in theJournal of the American Society for Horticultural Science, May 2013 vol.138 no. 3 225-228, which is incorporated by reference herein in itsentirety, and is accessible atjournal.ashspublications.org/content/138/3/225.full.

In various instances, time-of-flight spectral waveforms are configuredto determine the depth of the critical structure and/or the proximity ofa surgical device to the critical structure. Moreover, the varioussurgical visualization systems disclosed herein include surface mappinglogic that is configured to create three-dimensional rendering of thesurface of the visible tissue. In such instances, even when the visibletissue obstructs a critical structure, the clinician can be aware of theproximity (or lack thereof) of a surgical device to the criticalstructure. In one instances, the topography of the surgical site isprovided on a monitor by the surface mapping logic. If the criticalstructure is close to the surface of the tissue, spectral imaging canconvey the position of the critical structure to the clinician. Forexample, spectral imaging may detect structures within 5 or 10 mm of thesurface. In other instances, spectral imaging may detect structures 10or 20 mm below the surface of the tissue. Based on the known limits ofthe spectral imaging system, the system is configured to convey that acritical structure is out-of-range if it is simply not detected by thespectral imaging system. Therefore, the clinician can continue to movethe surgical device and/or manipulate the tissue. When the criticalstructure moves into range of the spectral imaging system, the systemcan identify the structure and, thus, communicate that the structure iswithin range. In such instances, an alert can be provided when astructure is initially identified and/or moved further within apredefined proximity zone. In such instances, even non-identification ofa critical structure by a spectral imaging system with knownbounds/ranges can provide proximity information (i.e. the lack ofproximity) to the clinician.

Various surgical visualization systems disclosed herein can beconfigured to identify intraoperatively the presence of and/or proximityto critical structure(s) and to alert a clinician prior to damaging thecritical structure(s) by inadvertent dissection and/or transection. Invarious aspects, the surgical visualization systems are configured toidentify one or more of the following critical structures: ureters,bowel, rectum, nerves (including the phrenic nerve, recurrent laryngealnerve [RLN], promontory facial nerve, vagus nerve, and branchesthereof), vessels (including the pulmonary and lobar arteries and veins,inferior mesenteric artery [IMA] and branches thereof, superior rectalartery, sigmoidal arteries, and left colic artery), superior mesentericartery (SMA) and branches thereof (including middle colic artery, rightcolic artery, ilecolic artery), hepatic artery and branches thereof,portal vein and branches thereof, splenic artery/vein and branchesthereof, external and internal (hypogastric) ileac vessels, shortgastric arteries, uterine arteries, middle sacral vessels, and lymphnodes, for example. Moreover, the surgical visualization systems areconfigured to indicate proximity of surgical device(s) to the criticalstructure(s) and/or warn the clinician when surgical device(s) aregetting close to the critical structure(s).

Various aspects of the present disclosure provide intraoperativecritical structure identification (e.g., identification of ureters,nerves, and/or vessels) and instrument proximity monitoring. Forexample, various surgical visualization systems disclosed herein caninclude spectral imaging and surgical instrument tracking, which enablethe visualization of critical structures below the surface of thetissue, such as 1.0-1.5 cm below the surface of the tissue, for example.In other instances, the surgical visualization system can identifystructures less than 1.0 cm or more the 1.5 cm below the surface of thetissue. For example, even a surgical visualization system that canidentify structures only within 0.2 mm of the surface, for example, canbe valuable if the structure cannot otherwise be seen due to the depth.In various aspects, the surgical visualization system can augment theclinician's view with a virtual depiction of the critical structure as avisible white-light image overlay on the surface of visible tissue, forexample. The surgical visualization system can provide real-time,three-dimensional spatial tracking of the distal tip of surgicalinstruments and can provide a proximity alert when the distal tip of asurgical instrument moves within a certain range of the criticalstructure, such as within 1.0 cm of the critical structure, for example.

Various surgical visualization systems disclosed herein can identifywhen dissection is too close to a critical structure. Dissection may be“too close” to a critical structure based on the temperature (i.e. toohot within a proximity of the critical structure that may riskdamaging/heating/melting the critical structure) and/or based on tension(i.e. too much tension within a proximity of the critical structure thatmay risk damaging/tearing/pulling the critical structure). Such asurgical visualization system can facilitate dissection around vesselswhen skeletonizing the vessels prior to ligation, for example. Invarious instances, a thermal imaging camera can be utilized to read theheat at the surgical site and provide a warning to the clinician that isbased on the detected heat and the distance from a tool to thestructure. For example, if the temperature of the tool is over apredefined threshold (such as 120 degrees F., for example), an alert canbe provided to the clinician at a first distance (such as 10 mm, forexample), and if the temperature of the tool is less than or equal tothe predefined threshold, the alert can be provided to the clinician ata second distance (such as 5 mm, for example). The predefined thresholdsand/or warning distances can be default settings and/or programmable bythe clinician. Additionally or alternatively, a proximity alert can belinked to thermal measurements made by the tool itself, such as athermocouple that measures the heat in a distal jaw of a monopolar orbipolar dissector or vessel sealer, for example.

Various surgical visualization systems disclosed herein can provideadequate sensitivity with respect to a critical structure andspecificity to enable a clinician to proceed with confidence in a quickbut safe dissection based on the standard of care and/or device safetydata. The system can function intraoperatively and in real-time during asurgical procedure with minimal ionizing radiation risk to a patient ora clinician and, in various instances, no risk of ionizing radiationrisk to the patient or the clinician. Conversely, in a fluoroscopyprocedure, the patient and clinician(s) may be exposed to ionizingradiation via an X-ray beam, for example, that is utilized to view theanatomical structures in real-time.

Various surgical visualization systems disclosed herein can beconfigured to detect and identify one or more desired types of criticalstructures in a forward path of a surgical device, such as when the pathof the surgical device is robotically controlled, for example.Additionally or alternatively, the surgical visualization system can beconfigured to detect and identify one or more types of criticalstructures in a surrounding area of the surgical device and/or inmultiple planes/dimensions, for example.

Various surgical visualization systems disclosed herein can be easy tooperate and/or interpret. Moreover, various surgical visualizationsystems can incorporate an “override” feature that allows the clinicianto override a default setting and/or operation. For example, a cliniciancan selectively turn off alerts from the surgical visualization systemand/or get closer to a critical structure than suggested by the surgicalvisualization system such as when the risk to the critical structure isless than risk of avoiding the area (e.g. when removing cancer around acritical structure the risk of leaving the cancerous tissue can begreater than the risk of damage to the critical structure).

Various surgical visualization systems disclosed herein can beincorporated into a surgical system and/or used during a surgicalprocedure with limited impact to the workflow. In other words,implementation of the surgical visualization system may not change theway the surgical procedure is implemented. Moreover, the surgicalvisualization system can be economical in comparison to the costs of aninadvertent transection. Data indicates the reduction in inadvertentdamage to a critical structure can drive incremental reimbursement.

Various surgical visualization systems disclosed herein can operate inreal-time, or near real-time, and far enough in advance to enable aclinician to anticipate critical structure(s). For example, a surgicalvisualization system can provide enough time to “slow down, evaluate,and avoid” in order to maximize efficiency of the surgical procedure.

Various surgical visualization systems disclosed herein may not requirea contrast agent, or dye, that is injected into tissue. For example,spectral imaging is configured to visualize hidden structuresintraoperatively without the use of a contrast agent or dye. In otherinstances, the contrast agent can be easier to inject into the properlayer(s) of tissue than other visualization systems. The time betweeninjection of the contrast agent and visualization of the criticalstructure can be less than two hours, for example.

Various surgical visualization systems disclosed herein can be linkedwith clinical data and/or device data. For example, data can provideboundaries for how close energy-enabled surgical devices (or otherpotentially damaging devices) should be from tissue that the surgeondoes not want to damage. Any data modules that interface with thesurgical visualization systems disclosed herein can be providedintegrally or separately from a robot to enable use with stand-alonesurgical devices in open or laparoscopic procedures, for example. Thesurgical visualization systems can be compatible with robotic surgicalsystems in various instances. For example, the visualizationimages/information can be displayed in a robotic console.

In various instances, clinicians may not know the location of a criticalstructure with respect to a surgical tool. For example, when a criticalstructure is embedded in tissue, the clinician may be unable toascertain the location of the critical structure. In certain instances,a clinician may want to keep a surgical device outside a range ofpositions surrounding the critical structure and/or away from thevisible tissue covering the hidden critical structure. When the locationof a concealed critical structure is unknown, the clinician may riskmoving too close to the critical structure, which can result ininadvertent trauma and/or dissection of the critical structure and/ortoo much energy, heat, and/or tension in proximity of the criticalstructure. Alternatively, the clinician may stay too far away from asuspected location of the critical structure and risk affecting tissueat a less desirable location in an effort to avoid the criticalstructure.

A surgical visualization system is provided that presents surgicaldevice tracking with respect to one or more critical structures. Forexample, the surgical visualization system can track the proximity of asurgical device with respect to a critical structure. Such tracking canoccur intraoperatively, in real-time, and/or in near real-time. Invarious instances, the tracking data can be provided to the cliniciansvia a display screen (e.g. a monitor) of an imaging system.

In one aspect of the present disclosure, a surgical visualization systemincludes a surgical device comprising an emitter configured to emit astructured light pattern onto a visible surface, an imaging systemcomprising a camera configured to detect an embedded structure and thestructured light pattern on the visible surface, and a control circuitin signal communication with the camera and the imaging system, whereinthe control circuit is configured to determine a distance from thesurgical device to the embedded structure and provide a signal to theimaging system indicative of the distance. For example, the distance canbe determined by computing a distance from the camera to the criticalstructure that is illuminated with fluoroscopy technology and based on athree-dimensional view of the illuminated structure provided by imagesfrom multiple lenses (e.g. a left-side lens and a right-side lens) ofthe camera. The distance from the surgical device to the criticalstructure can be triangulated based on the known positions of thesurgical device and the camera, for example. Alternative means fordetermining the distance to an embedded critical structure are furtherdescribed herein. For example, NIR time-of-flight distance sensors canbe employed. Additionally or alternatively, the surgical visualizationsystem can determine a distance to visible tissue overlying/covering anembedded critical structure. For example, the surgical visualizationsystem can identify a hidden critical structure and augment a view ofthe hidden critical structure by depicting a schematic of the hiddencritical structure on the visible structure, such as a line on thesurface of the visible tissue. The surgical visualization system canfurther determine the distance to the augmented line on the visibletissue.

By providing the clinician with up-to-date information regarding theproximity of the surgical device to the concealed critical structureand/or visible structure, as provided by the various surgicalvisualization systems disclosed herein, the clinician can make moreinformed decisions regarding the placement of the surgical devicerelative to the concealed critical structure. For example, the cliniciancan view the distance between the surgical device and the criticalstructure in real-time/intraoperatively and, in certain instances, analert and/or warning can be provided by the imaging system when thesurgical device is moved within a predefined proximity and/or zone ofthe critical structure. In certain instances, the alert and/or warningcan be provided when the trajectory of the surgical device indicates alikely collision with a “no-fly” zone in the proximity of the criticalstructure (e.g. within 1 mm, 2 mm, 5 mm, 10 mm, 20 mm or more of thecritical structure). In such instances, the clinician can maintainmomentum throughout the surgical procedure without requiring theclinician to monitor a suspected location of the critical structure andthe surgical device's proximity thereto. As a result, certain surgicalprocedures can be performed more quickly, with fewerpauses/interruptions, and/or with improved accuracy and/or certainty,for example. In one aspect, the surgical visualization system can beutilized to detect tissue variability, such as the variability of tissuewithin an organ to differentiate tumors/cancerous tissue/unhealthytissue from healthy tissue. Such a surgical visualization system canmaximize the removal of the unhealthy tissue while minimizing theremoval of the healthy tissue.

Surgical Hub System

The various visualization or imaging systems described herein can beincorporated into a surgical hub system, such as is illustrated inconnection with FIGS. 17-19 and described in further detail below.

Referring to FIG. 17, a computer-implemented interactive surgical system2100 includes one or more surgical systems 2102 and a cloud-based system(e.g., the cloud 2104 that may include a remote server 2113 coupled to astorage device 2105). Each surgical system 2102 includes at least onesurgical hub 2106 in communication with the cloud 2104 that may includea remote server 2113. In one example, as illustrated in FIG. 17, thesurgical system 2102 includes a visualization system 2108, a roboticsystem 2110, and a handheld intelligent surgical instrument 2112, whichare configured to communicate with one another and/or the hub 2106. Insome aspects, a surgical system 2102 may include an M number of hubs2106, an N number of visualization systems 2108, an O number of roboticsystems 2110, and a P number of handheld intelligent surgicalinstruments 2112, where M, N, O, and P are integers greater than orequal to one.

FIG. 18 depicts an example of a surgical system 2102 being used toperform a surgical procedure on a patient who is lying down on anoperating table 2114 in a surgical operating room 2116. A robotic system2110 is used in the surgical procedure as a part of the surgical system2102. The robotic system 2110 includes a surgeon's console 2118, apatient side cart 2120 (surgical robot), and a surgical robotic hub2122. The patient side cart 2120 can manipulate at least one removablycoupled surgical tool 2117 through a minimally invasive incision in thebody of the patient while the surgeon views the surgical site throughthe surgeon's console 2118. An image of the surgical site can beobtained by a medical imaging device 2124, which can be manipulated bythe patient side cart 2120 to orient the imaging device 2124. Therobotic hub 2122 can be used to process the images of the surgical sitefor subsequent display to the surgeon through the surgeon's console2118.

Other types of robotic systems can be readily adapted for use with thesurgical system 2102. Various examples of robotic systems and surgicaltools that are suitable for use with the present disclosure aredescribed in various U.S. patent applications, which are incorporated byreference herein in the present disclosure.

Various examples of cloud-based analytics that are performed by thecloud 2104, and are suitable for use with the present disclosure, aredescribed in various U.S. patent applications, which are incorporated byreference herein in the present disclosure.

In various aspects, the imaging device 2124 includes at least one imagesensor and one or more optical components. Suitable image sensorsinclude, but are not limited to, Charge-Coupled Device (CCD) sensors andComplementary Metal-Oxide Semiconductor (CMOS) sensors.

The optical components of the imaging device 2124 may include one ormore illumination sources and/or one or more lenses. The one or moreillumination sources may be directed to illuminate portions of thesurgical field. The one or more image sensors may receive lightreflected or refracted from the surgical field, including lightreflected or refracted from tissue and/or surgical instruments.

The one or more illumination sources may be configured to radiateelectromagnetic energy in the visible spectrum as well as the invisiblespectrum. The visible spectrum, sometimes referred to as the opticalspectrum or luminous spectrum, is that portion of the electromagneticspectrum that is visible to (i.e., can be detected by) the human eye andmay be referred to as visible light or simply light. A typical human eyewill respond to wavelengths in air that are from about 380 nm to about750 nm.

The invisible spectrum (i.e., the non-luminous spectrum) is that portionof the electromagnetic spectrum that lies below and above the visiblespectrum (i.e., wavelengths below about 380 nm and above about 750 nm).The invisible spectrum is not detectable by the human eye. Wavelengthsgreater than about 750 nm are longer than the red visible spectrum, andthey become invisible infrared (IR), microwave, and radioelectromagnetic radiation. Wavelengths less than about 380 nm areshorter than the violet spectrum, and they become invisible ultraviolet,x-ray, and gamma ray electromagnetic radiation.

In various aspects, the imaging device 2124 is configured for use in aminimally invasive procedure. Examples of imaging devices suitable foruse with the present disclosure include, but not limited to, anarthroscope, angioscope, bronchoscope, choledochoscope, colonoscope,cytoscope, duodenoscope, enteroscope, esophagogastro-duodenoscope(gastroscope), endoscope, laryngoscope, nasopharyngo-neproscope,sigmoidoscope, thoracoscope, and ureteroscope.

In one aspect, the imaging device employs multi-spectrum monitoring todiscriminate topography and underlying structures. A multi-spectralimage is one that captures image data within specific wavelength rangesacross the electromagnetic spectrum. The wavelengths may be separated byfilters or by the use of instruments that are sensitive to particularwavelengths, including light from frequencies beyond the visible lightrange, e.g., IR and ultraviolet. Spectral imaging can allow extractionof additional information the human eye fails to capture with itsreceptors for red, green, and blue. The use of multi-spectral imaging isdescribed in various U.S. patent applications that are incorporated byreference herein in the present disclosure. Multi-spectrum monitoringcan be a useful tool in relocating a surgical field after a surgicaltask is completed to perform one or more of the previously describedtests on the treated tissue.

It is axiomatic that strict sterilization of the operating room andsurgical equipment is required during any surgery. The strict hygieneand sterilization conditions required in a “surgical theater,” i.e., anoperating or treatment room, necessitate the highest possible sterilityof all medical devices and equipment. Part of that sterilization processis the need to sterilize anything that comes in contact with the patientor penetrates the sterile field, including the imaging device 2124 andits attachments and components. It will be appreciated that the sterilefield may be considered a specified area, such as within a tray or on asterile towel, that is considered free of microorganisms, or the sterilefield may be considered an area, immediately around a patient, who hasbeen prepared for a surgical procedure. The sterile field may includethe scrubbed team members, who are properly attired, and all furnitureand fixtures in the area. In various aspects, the visualization system2108 includes one or more imaging sensors, one or more image-processingunits, one or more storage arrays, and one or more displays that arestrategically arranged with respect to the sterile field, as illustratedin FIG. 18. In one aspect, the visualization system 2108 includes aninterface for HL7, PACS, and EMR. Various components of thevisualization system 2108 are described in various U.S. patentapplications that are incorporated by reference herein in the presentdisclosure.

As illustrated in FIG. 18, a primary display 2119 is positioned in thesterile field to be visible to an operator at the operating table 2114.In addition, a visualization tower 21121 is positioned outside thesterile field. The visualization tower 21121 includes a firstnon-sterile display 2107 and a second non-sterile display 2109, whichface away from each other. The visualization system 2108, guided by thehub 2106, is configured to utilize the displays 2107, 2109, and 2119 tocoordinate information flow to operators inside and outside the sterilefield. For example, the hub 2106 may cause the visualization system 2108to display a snapshot of a surgical site, as recorded by an imagingdevice 2124, on a non-sterile display 2107 or 2109, while maintaining alive feed of the surgical site on the primary display 2119. The snapshoton the non-sterile display 2107 or 2109 can permit a non-sterileoperator to perform a diagnostic step relevant to the surgicalprocedure, for example.

In one aspect, the hub 2106 is also configured to route a diagnosticinput or feedback entered by a non-sterile operator at the visualizationtower 21121 to the primary display 2119 within the sterile field, whereit can be viewed by a sterile operator at the operating table. In oneexample, the input can be in the form of a modification to the snapshotdisplayed on the non-sterile display 2107 or 2109, which can be routedto the primary display 2119 by the hub 2106.

Referring to FIG. 18, a surgical instrument 2112 is being used in thesurgical procedure as part of the surgical system 2102. The hub 2106 isalso configured to coordinate information flow to a display of thesurgical instrument 2112, as is described in various U.S. patentapplications that are incorporated by reference herein in the presentdisclosure. A diagnostic input or feedback entered by a non-sterileoperator at the visualization tower 21121 can be routed by the hub 2106to the surgical instrument display 2115 within the sterile field, whereit can be viewed by the operator of the surgical instrument 2112.Example surgical instruments that are suitable for use with the surgicalsystem 2102 are described in various U.S. patent applications that areincorporated by reference herein in the present disclosure.

FIG. 19 illustrates a computer-implemented interactive surgical system2200. The computer-implemented interactive surgical system 2200 issimilar in many respects to the computer-implemented interactivesurgical system 2100. The surgical system 2200 includes at least onesurgical hub 2236 in communication with a cloud 2204 that may include aremote server 2213. In one aspect, the computer-implemented interactivesurgical system 2200 comprises a surgical hub 2236 connected to multipleoperating theater devices such as, for example, intelligent surgicalinstruments, robots, and other computerized devices located in theoperating theater. The surgical hub 2236 comprises a communicationsinterface for communicably coupling the surgical hub 2236 to the cloud2204 and/or remote server 2213. As illustrated in the example of FIG.19, the surgical hub 2236 is coupled to an imaging module 2238 that iscoupled to an endoscope 2239, a generator module 2240 that is coupled toan energy device 2421, a smoke evacuator module 2226, asuction/irrigation module 2228, a communication module 2230, a processormodule 2232, a storage array 2234, a smart device/instrument 2235optionally coupled to a display 2237, and a non-contact sensor module2242. The operating theater devices are coupled to cloud computingresources and data storage via the surgical hub 2236. A robot hub 2222also may be connected to the surgical hub 2236 and to the cloudcomputing resources. The devices/instruments 2235, visualization systems2209, among others, may be coupled to the surgical hub 2236 via wired orwireless communication standards or protocols, as described herein. Thesurgical hub 2236 may be coupled to a hub display 2215 (e.g., monitor,screen) to display and overlay images received from the imaging module,device/instrument display, and/or other visualization systems 208. Thehub display also may display data received from devices connected to themodular control tower in conjunction with images and overlaid images.

Situational Awareness

The various visualization systems or aspects of visualization systemsdescribed herein can be utilized as part of a situational awarenesssystem that can be embodied or executed by a surgical hub 2106, 2236(FIGS. 17-19). In particular, characterizing, identifying, and/orvisualizing surgical instruments or other surgical devices (includingtheir positions, orientations, and actions), tissues, structures, users,and other things located within the surgical field or the operatingtheater can provide contextual data that can be utilized by asituational awareness system to infer the type of surgical procedure ora step thereof being performed, the type of tissue(s) and/orstructure(s) being manipulated by the surgeon, and so on. Thiscontextual data can then be utilized by the situational awareness systemto provide alerts to users, suggest subsequent steps or actions for theusers to undertake, prepare surgical devices in anticipation for theiruse (e.g., activate an electrosurgical generator in anticipation of anelectrosurgical instrument being utilized in a subsequent step of thesurgical procedure), control surgical instruments intelligently (e.g.,customize surgical instrument operational parameters based on eachpatient's particular health profile), and so on.

Although an “intelligent” device including control algorithms thatrespond to sensed data can be an improvement over a “dumb” device thatoperates without accounting for sensed data, some sensed data can beincomplete or inconclusive when considered in isolation, i.e., withoutthe context of the type of surgical procedure being performed or thetype of tissue that is being operated on. Without knowing the proceduralcontext (e.g., knowing the type of tissue being operated on or the typeof procedure being performed), the control algorithm may control modulardevice incorrectly or suboptimally given the particular context-freesensed data. Modular devices can include any surgical devices that iscontrollable by a situational awareness system, such as visualizationsystem devices (e.g., a camera or display screen), surgical instruments(e.g., an ultrasonic surgical instrument, an electrosurgical instrument,or a surgical stapler), and other surgical devices (e.g., a smokeevacuator). For example, the optimal manner for a control algorithm tocontrol a surgical instrument in response to a particular sensedparameter can vary according to the particular tissue type beingoperated on. This is due to the fact that different tissue types havedifferent properties (e.g., resistance to tearing) and thus responddifferently to actions taken by surgical instruments. Therefore, it maybe desirable for a surgical instrument to take different actions evenwhen the same measurement for a particular parameter is sensed. As onespecific example, the optimal manner in which to control a surgicalstapling and cutting instrument in response to the instrument sensing anunexpectedly high force to close its end effector will vary dependingupon whether the tissue type is susceptible or resistant to tearing. Fortissues that are susceptible to tearing, such as lung tissue, theinstrument's control algorithm would optimally ramp down the motor inresponse to an unexpectedly high force to close to avoid tearing thetissue. For tissues that are resistant to tearing, such as stomachtissue, the instrument's control algorithm would optimally ramp up themotor in response to an unexpectedly high force to close to ensure thatthe end effector is clamped properly on the tissue. Without knowingwhether lung or stomach tissue has been clamped, the control algorithmmay make a suboptimal decision.

One solution utilizes a surgical hub including a system that isconfigured to derive information about the surgical procedure beingperformed based on data received from various data sources and thencontrol the paired modular devices accordingly. In other words, thesurgical hub is configured to infer information about the surgicalprocedure from received data and then control the modular devices pairedto the surgical hub based upon the inferred context of the surgicalprocedure. FIG. 20 illustrates a diagram of a situationally awaresurgical system 2400, in accordance with at least one aspect of thepresent disclosure. In some exemplifications, the data sources 2426include, for example, the modular devices 2402 (which can includesensors configured to detect parameters associated with the patientand/or the modular device itself), databases 2422 (e.g., an EMR databasecontaining patient records), and patient monitoring devices 2424 (e.g.,a blood pressure (BP) monitor and an electrocardiography (EKG) monitor).

A surgical hub 2404, which may be similar to the hub 106 in manyrespects, can be configured to derive the contextual informationpertaining to the surgical procedure from the data based upon, forexample, the particular combination(s) of received data or theparticular order in which the data is received from the data sources2426. The contextual information inferred from the received data caninclude, for example, the type of surgical procedure being performed,the particular step of the surgical procedure that the surgeon isperforming, the type of tissue being operated on, or the body cavitythat is the subject of the procedure. This ability by some aspects ofthe surgical hub 2404 to derive or infer information related to thesurgical procedure from received data can be referred to as “situationalawareness.” In one exemplification, the surgical hub 2404 canincorporate a situational awareness system, which is the hardware and/orprogramming associated with the surgical hub 2404 that derivescontextual information pertaining to the surgical procedure from thereceived data.

The situational awareness system of the surgical hub 2404 can beconfigured to derive the contextual information from the data receivedfrom the data sources 2426 in a variety of different ways. In oneexemplification, the situational awareness system includes a patternrecognition system, or machine learning system (e.g., an artificialneural network), that has been trained on training data to correlatevarious inputs (e.g., data from databases 2422, patient monitoringdevices 2424, and/or modular devices 2402) to corresponding contextualinformation regarding a surgical procedure. In other words, a machinelearning system can be trained to accurately derive contextualinformation regarding a surgical procedure from the provided inputs. Inanother exemplification, the situational awareness system can include alookup table storing pre-characterized contextual information regardinga surgical procedure in association with one or more inputs (or rangesof inputs) corresponding to the contextual information. In response to aquery with one or more inputs, the lookup table can return thecorresponding contextual information for the situational awarenesssystem for controlling the modular devices 2402. In one exemplification,the contextual information received by the situational awareness systemof the surgical hub 2404 is associated with a particular controladjustment or set of control adjustments for one or more modular devices2402. In another exemplification, the situational awareness systemincludes a further machine learning system, lookup table, or other suchsystem, which generates or retrieves one or more control adjustments forone or more modular devices 2402 when provided the contextualinformation as input.

A surgical hub 2404 incorporating a situational awareness systemprovides a number of benefits for the surgical system 2400. One benefitincludes improving the interpretation of sensed and collected data,which would in turn improve the processing accuracy and/or the usage ofthe data during the course of a surgical procedure. To return to aprevious example, a situationally aware surgical hub 2404 coulddetermine what type of tissue was being operated on; therefore, when anunexpectedly high force to close the surgical instrument's end effectoris detected, the situationally aware surgical hub 2404 could correctlyramp up or ramp down the motor of the surgical instrument for the typeof tissue.

As another example, the type of tissue being operated can affect theadjustments that are made to the compression rate and load thresholds ofa surgical stapling and cutting instrument for a particular tissue gapmeasurement. A situationally aware surgical hub 2404 could infer whethera surgical procedure being performed is a thoracic or an abdominalprocedure, allowing the surgical hub 2404 to determine whether thetissue clamped by an end effector of the surgical stapling and cuttinginstrument is lung (for a thoracic procedure) or stomach (for anabdominal procedure) tissue. The surgical hub 2404 could then adjust thecompression rate and load thresholds of the surgical stapling andcutting instrument appropriately for the type of tissue.

As yet another example, the type of body cavity being operated in duringan insufflation procedure can affect the function of a smoke evacuator.A situationally aware surgical hub 2404 could determine whether thesurgical site is under pressure (by determining that the surgicalprocedure is utilizing insufflation) and determine the procedure type.As a procedure type is generally performed in a specific body cavity,the surgical hub 2404 could then control the motor rate of the smokeevacuator appropriately for the body cavity being operated in. Thus, asituationally aware surgical hub 2404 could provide a consistent amountof smoke evacuation for both thoracic and abdominal procedures.

As yet another example, the type of procedure being performed can affectthe optimal energy level for an ultrasonic surgical instrument or radiofrequency (RF) electrosurgical instrument to operate at. Arthroscopicprocedures, for example, require higher energy levels because the endeffector of the ultrasonic surgical instrument or RF electrosurgicalinstrument is immersed in fluid. A situationally aware surgical hub 2404could determine whether the surgical procedure is an arthroscopicprocedure. The surgical hub 2404 could then adjust the RF power level orthe ultrasonic amplitude of the generator (i.e., “energy level”) tocompensate for the fluid filled environment. Relatedly, the type oftissue being operated on can affect the optimal energy level for anultrasonic surgical instrument or RF electrosurgical instrument tooperate at. A situationally aware surgical hub 2404 could determine whattype of surgical procedure is being performed and then customize theenergy level for the ultrasonic surgical instrument or RFelectrosurgical instrument, respectively, according to the expectedtissue profile for the surgical procedure. Furthermore, a situationallyaware surgical hub 2404 can be configured to adjust the energy level forthe ultrasonic surgical instrument or RF electrosurgical instrumentthroughout the course of a surgical procedure, rather than just on aprocedure-by-procedure basis. A situationally aware surgical hub 2404could determine what step of the surgical procedure is being performedor will subsequently be performed and then update the control algorithmsfor the generator and/or ultrasonic surgical instrument or RFelectrosurgical instrument to set the energy level at a valueappropriate for the expected tissue type according to the surgicalprocedure step.

As yet another example, data can be drawn from additional data sources2426 to improve the conclusions that the surgical hub 2404 draws fromone data source 2426. A situationally aware surgical hub 2404 couldaugment data that it receives from the modular devices 2402 withcontextual information that it has built up regarding the surgicalprocedure from other data sources 2426. For example, a situationallyaware surgical hub 2404 can be configured to determine whetherhemostasis has occurred (i.e., whether bleeding at a surgical site hasstopped) according to video or image data received from a medicalimaging device. However, in some cases the video or image data can beinconclusive. Therefore, in one exemplification, the surgical hub 2404can be further configured to compare a physiologic measurement (e.g.,blood pressure sensed by a BP monitor communicably connected to thesurgical hub 2404) with the visual or image data of hemostasis (e.g.,from a medical imaging device 124 (FIG. 2) communicably coupled to thesurgical hub 2404) to make a determination on the integrity of thestaple line or tissue weld. In other words, the situational awarenesssystem of the surgical hub 2404 can consider the physiologicalmeasurement data to provide additional context in analyzing thevisualization data. The additional context can be useful when thevisualization data may be inconclusive or incomplete on its own.

Another benefit includes proactively and automatically controlling thepaired modular devices 2402 according to the particular step of thesurgical procedure that is being performed to reduce the number of timesthat medical personnel are required to interact with or control thesurgical system 2400 during the course of a surgical procedure. Forexample, a situationally aware surgical hub 2404 could proactivelyactivate the generator to which an RF electrosurgical instrument isconnected if it determines that a subsequent step of the procedurerequires the use of the instrument. Proactively activating the energysource allows the instrument to be ready for use a soon as the precedingstep of the procedure is completed.

As another example, a situationally aware surgical hub 2404 coulddetermine whether the current or subsequent step of the surgicalprocedure requires a different view or degree of magnification on thedisplay according to the feature(s) at the surgical site that thesurgeon is expected to need to view. The surgical hub 2404 could thenproactively change the displayed view (supplied by, e.g., a medicalimaging device for the visualization system 108) accordingly so that thedisplay automatically adjusts throughout the surgical procedure.

As yet another example, a situationally aware surgical hub 2404 coulddetermine which step of the surgical procedure is being performed orwill subsequently be performed and whether particular data orcomparisons between data will be required for that step of the surgicalprocedure. The surgical hub 2404 can be configured to automatically callup data screens based upon the step of the surgical procedure beingperformed, without waiting for the surgeon to ask for the particularinformation.

Another benefit includes checking for errors during the setup of thesurgical procedure or during the course of the surgical procedure. Forexample, a situationally aware surgical hub 2404 could determine whetherthe operating theater is setup properly or optimally for the surgicalprocedure to be performed. The surgical hub 2404 can be configured todetermine the type of surgical procedure being performed, retrieve thecorresponding checklists, product location, or setup needs (e.g., from amemory), and then compare the current operating theater layout to thestandard layout for the type of surgical procedure that the surgical hub2404 determines is being performed. In one exemplification, the surgicalhub 2404 can be configured to compare the list of items for theprocedure scanned by a suitable scanner for example and/or a list ofdevices paired with the surgical hub 2404 to a recommended oranticipated manifest of items and/or devices for the given surgicalprocedure. If there are any discontinuities between the lists, thesurgical hub 2404 can be configured to provide an alert indicating thata particular modular device 2402, patient monitoring device 2424, and/orother surgical item is missing. In one exemplification, the surgical hub2404 can be configured to determine the relative distance or position ofthe modular devices 2402 and patient monitoring devices 2424 viaproximity sensors, for example. The surgical hub 2404 can compare therelative positions of the devices to a recommended or anticipated layoutfor the particular surgical procedure. If there are any discontinuitiesbetween the layouts, the surgical hub 2404 can be configured to providean alert indicating that the current layout for the surgical proceduredeviates from the recommended layout.

As another example, a situationally aware surgical hub 2404 coulddetermine whether the surgeon (or other medical personnel) was making anerror or otherwise deviating from the expected course of action duringthe course of a surgical procedure. For example, the surgical hub 2404can be configured to determine the type of surgical procedure beingperformed, retrieve the corresponding list of steps or order ofequipment usage (e.g., from a memory), and then compare the steps beingperformed or the equipment being used during the course of the surgicalprocedure to the expected steps or equipment for the type of surgicalprocedure that the surgical hub 2404 determined is being performed. Inone exemplification, the surgical hub 2404 can be configured to providean alert indicating that an unexpected action is being performed or anunexpected device is being utilized at the particular step in thesurgical procedure.

Overall, the situational awareness system for the surgical hub 2404improves surgical procedure outcomes by adjusting the surgicalinstruments (and other modular devices 2402) for the particular contextof each surgical procedure (such as adjusting to different tissue types)and validating actions during a surgical procedure. The situationalawareness system also improves surgeons' efficiency in performingsurgical procedures by automatically suggesting next steps, providingdata, and adjusting displays and other modular devices 2402 in thesurgical theater according to the specific context of the procedure.

Referring now to FIG. 21, a timeline 2500 depicting situationalawareness of a hub, such as the surgical hub 106 or 206 (FIGS. 1-11),for example, is depicted. The timeline 2500 is an illustrative surgicalprocedure and the contextual information that the surgical hub 106, 206can derive from the data received from the data sources at each step inthe surgical procedure. The timeline 2500 depicts the typical steps thatwould be taken by the nurses, surgeons, and other medical personnelduring the course of a lung segmentectomy procedure, beginning withsetting up the operating theater and ending with transferring thepatient to a post-operative recovery room.

The situationally aware surgical hub 106, 206 receives data from thedata sources throughout the course of the surgical procedure, includingdata generated each time medical personnel utilize a modular device thatis paired with the surgical hub 106, 206. The surgical hub 106, 206 canreceive this data from the paired modular devices and other data sourcesand continually derive inferences (i.e., contextual information) aboutthe ongoing procedure as new data is received, such as which step of theprocedure is being performed at any given time. The situationalawareness system of the surgical hub 106, 206 is able to, for example,record data pertaining to the procedure for generating reports, verifythe steps being taken by the medical personnel, provide data or prompts(e.g., via a display screen) that may be pertinent for the particularprocedural step, adjust modular devices based on the context (e.g.,activate monitors, adjust the field of view (FOV) of the medical imagingdevice, or change the energy level of an ultrasonic surgical instrumentor RF electrosurgical instrument), and take any other such actiondescribed above.

As the first step 2502 in this illustrative procedure, the hospitalstaff members retrieve the patient's EMR from the hospital's EMRdatabase. Based on select patient data in the EMR, the surgical hub 106,206 determines that the procedure to be performed is a thoracicprocedure.

Second step 2504, the staff members scan the incoming medical suppliesfor the procedure. The surgical hub 106, 206 cross-references thescanned supplies with a list of supplies that are utilized in varioustypes of procedures and confirms that the mix of supplies corresponds toa thoracic procedure. Further, the surgical hub 106, 206 is also able todetermine that the procedure is not a wedge procedure (because theincoming supplies either lack certain supplies that are necessary for athoracic wedge procedure or do not otherwise correspond to a thoracicwedge procedure).

Third step 2506, the medical personnel scan the patient band via ascanner that is communicably connected to the surgical hub 106, 206. Thesurgical hub 106, 206 can then confirm the patient's identity based onthe scanned data.

Fourth step 2508, the medical staff turns on the auxiliary equipment.The auxiliary equipment being utilized can vary according to the type ofsurgical procedure and the techniques to be used by the surgeon, but inthis illustrative case they include a smoke evacuator, insufflator, andmedical imaging device. When activated, the auxiliary equipment that aremodular devices can automatically pair with the surgical hub 106, 206that is located within a particular vicinity of the modular devices aspart of their initialization process. The surgical hub 106, 206 can thenderive contextual information about the surgical procedure by detectingthe types of modular devices that pair with it during this pre-operativeor initialization phase. In this particular example, the surgical hub106, 206 determines that the surgical procedure is a VATS procedurebased on this particular combination of paired modular devices. Based onthe combination of the data from the patient's EMR, the list of medicalsupplies to be used in the procedure, and the type of modular devicesthat connect to the hub, the surgical hub 106, 206 can generally inferthe specific procedure that the surgical team will be performing. Oncethe surgical hub 106, 206 knows what specific procedure is beingperformed, the surgical hub 106, 206 can then retrieve the steps of thatprocedure from a memory or from the cloud and then cross-reference thedata it subsequently receives from the connected data sources (e.g.,modular devices and patient monitoring devices) to infer what step ofthe surgical procedure the surgical team is performing.

Fifth step 2510, the staff members attach the EKG electrodes and otherpatient monitoring devices to the patient. The EKG electrodes and otherpatient monitoring devices are able to pair with the surgical hub 106,206. As the surgical hub 106, 206 begins receiving data from the patientmonitoring devices, the surgical hub 106, 206 thus confirms that thepatient is in the operating theater.

Sixth step 2512, the medical personnel induce anesthesia in the patient.The surgical hub 106, 206 can infer that the patient is under anesthesiabased on data from the modular devices and/or patient monitoringdevices, including EKG data, blood pressure data, ventilator data, orcombinations thereof, for example. Upon completion of the sixth step2512, the pre-operative portion of the lung segmentectomy procedure iscompleted and the operative portion begins.

Seventh step 2514, the patient's lung that is being operated on iscollapsed (while ventilation is switched to the contralateral lung). Thesurgical hub 106, 206 can infer from the ventilator data that thepatient's lung has been collapsed, for example. The surgical hub 106,206 can infer that the operative portion of the procedure has commencedas it can compare the detection of the patient's lung collapsing to theexpected steps of the procedure (which can be accessed or retrievedpreviously) and thereby determine that collapsing the lung is the firstoperative step in this particular procedure.

Eighth step 2516, the medical imaging device (e.g., a scope) is insertedand video from the medical imaging device is initiated. The surgical hub106, 206 receives the medical imaging device data (i.e., video or imagedata) through its connection to the medical imaging device. Upon receiptof the medical imaging device data, the surgical hub 106, 206 candetermine that the laparoscopic portion of the surgical procedure hascommenced. Further, the surgical hub 106, 206 can determine that theparticular procedure being performed is a segmentectomy, as opposed to alobectomy (note that a wedge procedure has already been discounted bythe surgical hub 106, 206 based on data received at the second step 2504of the procedure). The data from the medical imaging device 124 (FIG. 2)can be utilized to determine contextual information regarding the typeof procedure being performed in a number of different ways, including bydetermining the angle at which the medical imaging device is orientedwith respect to the visualization of the patient's anatomy, monitoringthe number or medical imaging devices being utilized (i.e., that areactivated and paired with the surgical hub 106, 206), and monitoring thetypes of visualization devices utilized. For example, one technique forperforming a VATS lobectomy places the camera in the lower anteriorcorner of the patient's chest cavity above the diaphragm, whereas onetechnique for performing a VATS segmentectomy places the camera in ananterior intercostal position relative to the segmental fissure. Usingpattern recognition or machine learning techniques, for example, thesituational awareness system can be trained to recognize the positioningof the medical imaging device according to the visualization of thepatient's anatomy. As another example, one technique for performing aVATS lobectomy utilizes a single medical imaging device, whereas anothertechnique for performing a VATS segmentectomy utilizes multiple cameras.As yet another example, one technique for performing a VATSsegmentectomy utilizes an infrared light source (which can becommunicably coupled to the surgical hub as part of the visualizationsystem) to visualize the segmental fissure, which is not utilized in aVATS lobectomy. By tracking any or all of this data from the medicalimaging device, the surgical hub 106, 206 can thereby determine thespecific type of surgical procedure being performed and/or the techniquebeing used for a particular type of surgical procedure.

Ninth step 2518, the surgical team begins the dissection step of theprocedure. The surgical hub 106, 206 can infer that the surgeon is inthe process of dissecting to mobilize the patient's lung because itreceives data from the RF or ultrasonic generator indicating that anenergy instrument is being fired. The surgical hub 106, 206 cancross-reference the received data with the retrieved steps of thesurgical procedure to determine that an energy instrument being fired atthis point in the process (i.e., after the completion of the previouslydiscussed steps of the procedure) corresponds to the dissection step. Incertain instances, the energy instrument can be an energy tool mountedto a robotic arm of a robotic surgical system.

Tenth step 2520, the surgical team proceeds to the ligation step of theprocedure. The surgical hub 106, 206 can infer that the surgeon isligating arteries and veins because it receives data from the surgicalstapling and cutting instrument indicating that the instrument is beingfired. Similarly to the prior step, the surgical hub 106, 206 can derivethis inference by cross-referencing the receipt of data from thesurgical stapling and cutting instrument with the retrieved steps in theprocess. In certain instances, the surgical instrument can be a surgicaltool mounted to a robotic arm of a robotic surgical system.

Eleventh step 2522, the segmentectomy portion of the procedure isperformed. The surgical hub 106, 206 can infer that the surgeon istransecting the parenchyma based on data from the surgical stapling andcutting instrument, including data from its cartridge. The cartridgedata can correspond to the size or type of staple being fired by theinstrument, for example. As different types of staples are utilized fordifferent types of tissues, the cartridge data can thus indicate thetype of tissue being stapled and/or transected. In this case, the typeof staple being fired is utilized for parenchyma (or other similartissue types), which allows the surgical hub 106, 206 to infer that thesegmentectomy portion of the procedure is being performed.

Twelfth step 2524, the node dissection step is then performed. Thesurgical hub 106, 206 can infer that the surgical team is dissecting thenode and performing a leak test based on data received from thegenerator indicating that an RF or ultrasonic instrument is being fired.For this particular procedure, an RF or ultrasonic instrument beingutilized after parenchyma was transected corresponds to the nodedissection step, which allows the surgical hub 106, 206 to make thisinference. It should be noted that surgeons regularly switch back andforth between surgical stapling/cutting instruments and surgical energy(i.e., RF or ultrasonic) instruments depending upon the particular stepin the procedure because different instruments are better adapted forparticular tasks. Therefore, the particular sequence in which thestapling/cutting instruments and surgical energy instruments are usedcan indicate what step of the procedure the surgeon is performing.Moreover, in certain instances, robotic tools can be utilized for one ormore steps in a surgical procedure and/or handheld surgical instrumentscan be utilized for one or more steps in the surgical procedure. Thesurgeon(s) can alternate between robotic tools and handheld surgicalinstruments and/or can use the devices concurrently, for example. Uponcompletion of the twelfth step 2524, the incisions are closed up and thepost-operative portion of the procedure begins.

Thirteenth step 2526, the patient's anesthesia is reversed. The surgicalhub 106, 206 can infer that the patient is emerging from the anesthesiabased on the ventilator data (i.e., the patient's breathing rate beginsincreasing), for example.

Lastly, the fourteenth step 2528 is that the medical personnel removethe various patient monitoring devices from the patient. The surgicalhub 2106, 2236 can thus infer that the patient is being transferred to arecovery room when the hub loses EKG, BP, and other data from thepatient monitoring devices. As can be seen from the description of thisillustrative procedure, the surgical hub 2106, 2236 can determine orinfer when each step of a given surgical procedure is taking placeaccording to data received from the various data sources that arecommunicably coupled to the surgical hub 2106, 2236.

Situational awareness is further described in various U.S. patentapplications that are incorporated by reference herein in the presentdisclosure, which is herein incorporated by reference in its entirety.In certain instances, operation of a robotic surgical system, includingthe various robotic surgical systems disclosed herein, for example, canbe controlled by the hub 2106, 2236 based on its situational awarenessand/or feedback from the components thereof and/or based on informationfrom the cloud 2104 (FIG. 17).

Imaging System Utilizing Fusion Imagery

One issue inherent to surgical procedures where surgeons rely uponimaging systems 142 (FIG. 2) is obstructions to the camera 144 (FIG. 2)that impinge upon the imaging systems' 142 ability to visualize thesurgical site and, thus, the surgeon's ability to perform the surgicaltasks required for the procedure. Obstructions can include, for example,fluid (e.g., blood) on the lens of the camera 144, on the surface of thebody cavity, or otherwise present at the surgical site; smoke generatedby electrosurgical instruments or other aerosols present within the bodycavity; and/or tissues or other structures overlaying the target tissuesor structures. A surgical system could be configured to utilize variousimaging techniques to compensate for obstructions includingmultispectral imaging of sub-regions of the FOV of the camera 144,interpolating sub-regions of prior image frames captured by the camera144, comparative multispectral analysis of captured images, and so on.

In one general aspect, the present disclosure is directed to a surgicalsystem configured to utilize segments of images captured at a samplingrate via an imaging system 142 a multispectral light source to minimizethe impairment of visualization due to various obstructions (e.g.,surgical smoke). In one aspect, the surgical system can be configure tocombine hyperspectral imaging with visible light imaging to minimizeimage interference caused by obstructions. The surgical system can, forexample, be configured to detect aspects of underlying or obstructedportions of surgical instruments, the surgical site, or the surroundingsby utilizing a separate wavelength or range of wavelengths of EMR. Forexample, the surgical system can utilize a frame from a sequentialscanning device to transmit separate wavelength(s) of EMR, include ahyperspectral imaging device configured to scan both within and outsideof the visible light spectrum, or a second imaging system configured toemit EMR at a different length than the first or primary imaging system.Accordingly, the surgical system can be configured to identifyobstructed portions of image frames at a particular wavelength or set ofwavelengths and interpolate or substitute portions of the obstructedimage portions with unobstructed image portions of image frames obtainedat other EMR wavelengths in order to provide a fully visualized,unobstructed image of the surgical site for the users.

In aspects utilizing an imaging system including a hyperspectral imagingdevice, the hyperspectral imaging device could scan at a particular rate(e.g., 240 frames per second) that would allow a portion of the emittedscan to include EMR from a near IR or UV laser source. Since those EMRat those wavelengths are not affected in the same manner as visiblelight to obstructions such as surgical smoke, fluids, and so on, thehyperspectral imaging device could be utilized to obtain images ofshapes, contours, or features that exist in both the hyperspectral imageand the corresponding visible light image. A control system of thesurgical system, such as the control system 133 illustrated in FIG. 2,could then be configured to substitute obstructed portions of the imagesobtained utilizing visible light with the corresponding detectedhyperspectral feature(s) or image portion(s) to complete thevisualization for the surgeon. As another example, the imaging systemcan include a tunable EMR source (e.g., the spectral light source 150)that is controllable by the control system 133 to emit EMR at awavelength or set of wavelengths where absorption of the EMR by water isat a minimum (e.g., in the visible blue-green wavelength range) sinceobscuration by water or water-containing fluids is especially likelyduring a surgical procedure. As another example, the surgical systemcould further include a second imaging system in addition to the firstprimary imaging system (e.g., the imaging system 142 shown in FIG. 2).In this example, the first imaging system 142 could be configured forimaging of the visible or near visible EMR spectrums and the secondimaging system could be configured for imaging of a different wavelengthspectrum(s) (e.g., long-wave IR (LWIR)). Accordingly, the second imagingsystem could be activated or otherwise utilized by the surgical systemas needed when the first imaging system is being obscured. In thesevarious aspects, the surgical system would minimize the amount ofcleaning required for the camera 144 (e.g., to remove obstructions fromthe image sensor 135 or other scanning array) and prevent temporary lossof sight of the surgical field due to obstructions between the camera144 and the surgical field (e.g., surgical smoke or insufflationgasses).

In particular examples, the imaging or visualization systems aredescribed as including a hyperspectral imaging device or as utilizinghyperspectral imaging techniques. However, it should be noted thathyperspectral imaging is one particular type of multispectral imaging.In hyperspectral imaging, the wavelength “bins” are continuous, sohyperspectral imaging techniques are utilizing the entire EMR spectrum.Conversely, multispectral can mean that the “bins” are separated. Inother words, a multispectral imaging system may sense EMR within, forexample, the visible, mid-wave IR (MWIR), and LWIR portions of the EMRspectrum (there can be gaps that a multispectral imaging system does notsense in, e.g., the near IR (NIR) portion of the EMR spectrum and/orbetween MWIR and LWIR portions). The imaging or visualization systemsand methods described herein should not be construed to be limited toany particular example, including examples describing hyperspectralimaging. In fact, the imaging or visualization systems and methods canbroadly utilize any multispectral imaging devices and techniques.

In order to assist in the understanding of the aforementioned systemsand methods, various examples will be described within the context of avideo-assisted thoracoscopic surgery (VATS) procedure. It should beunderstood that this is simply for illustrative purposes though and thatthe described systems and methods are applicable to other contextsand/or surgical procedures, however. A VATS procedure is a surgicalprocedure whereby one or more surgical instruments and one or morethoracoscopes (i.e., cameras) are inserted into the patient's chestcavity through slits positioned between the patient's ribs. The camerasare utilized to provide the surgeons with a view of the interior of thepatient's chest cavity to allow the surgeon to properly position/movethe surgical instrument(s) and manipulate tissue/structures within thechest cavity. Accordingly, FIG. 22 is a diagram of a surgical system3000 during the performance of a surgical procedure on a lung 3010, inaccordance with at least one aspect of the present disclosure. Asurgical system 3000 for performing a video-assisted surgical procedurecan include a variety of different surgical devices, including animaging device 3002, a grasper 3004, an electrosurgical instrument 3006or another surgical instrument, and a smoke evacuator 3008. Further, thesurgical system 3000 can include or be coupled to a surgical hub 2106,2236 (FIGS. 17-19), a visualization system 2108 (FIGS. 17-19) or animaging system 142 (FIG. 2), a control system 133 (FIG. 2), a roboticsystem 2110 (FIGS. 17-19), and any other systems or devices describedherein. The imaging device 3002 can include a camera 144 (FIG. 2), aspectral light source 150 (FIG. 2), a structured light source 152 (FIG.2), any other imaging emitters or receivers described herein, orcombinations thereof. The imaging device 3002 can be configured tocapture and provide images or video of the surgical site within a FOV3020 to a display screen (e.g., the display 146 as in FIG. 2) forviewing by a user (e.g., a surgeon). The imaging device 3002 can beconfigured to sense EMR within or outside of the visible light portionof the EMR spectrum and thereby visualize tissues and/or structures thatare either visible or invisible to the naked eye. Based on thevisualization provided by the imaging system 142 associated with theimaging device 3002, the surgeon can then control the surgical devicesto manipulate the tissues and/or structures to perform the surgicalprocedure.

During a surgical procedure, various obscurants, such as surgical smokeclouds 3014 or other aerosols, fluids, gasses, tissues, structures, andso on, can move across the FOV 3020 of the imaging device(s) 3002 andthereby prevent the imaging system 132 from being able to fullyvisualize the surgical site, which can in turn negatively impact thesurgeon's ability to perform the procedure. Many surgical systems 3000include smoke evacuators 3008 to remove surgical smoke clouds 3014,other aerosols, and gasses from the body cavity being operated on.However, smoke evacuators 3008 may not be sufficient to remove allobscurants or there may be a delay associated with the removal of theobscurants during which the surgeon is unable to properly visualize thesurgical site. Accordingly, systems and methods are needed to compensatefor the presence of obscurants and allow for visualization of a surgicalsite through those obscurants.

In one aspect, an imaging system, such as the imaging system 142illustrated in FIG. 2, can be configured to utilize hyperspectralimaging and image fusion techniques to allow for visualization throughobscurants. For example, FIG. 23 is a diagram of an imaging device 3002faced with multiple obscurants. In this example, the target of thesurgical procedure is a subsurface tumor 3038. However, to actuallyvisualize the tumor 3038, the imaging device 3002 would have tocompensate for a number of different obscurants, including fluid 3030present on the lens of the imaging device 3002, surgical smoke 3032present within the body cavity, blood 3034 on the surface of the tissue3036, the tissue 3036 itself, and structures 3040 located throughout thetissue 3036. In one aspect, the imaging device 3002 can be ahyperspectral imaging device that is configured to sense EMR across thewavelength spectrum. EMR interacts differently with various objects atdifferent wavelengths. In particular, certain wavelengths of EMR may notbe absorbed by particular obscurants at particular wavelengths orwavelength ranges. Therefore, by sensing EMR at multiple portions of theEMR spectrum, the imaging system 142 can visualize through obscurants bysensing EMR at wavelengths that are not absorbed by the obscurants.Further, the wavelengths sensed by the imaging device 3002 can beselected to sense at wavelengths that are non-interactive (orsubstantially non-interactive) with typical or expected obscurants. Inthe depicted example, the imaging device 3002 can be configured to senseEMR within the visible light, MWIR, and LWIR portions of the EMRspectrum.

In one aspect, a control system can be configured to utilizemultispectral (e.g., hyperspectral) imaging to visualize a surgical siteat multiple portions of the EMR spectrum and then provide avisualization to a user that is free from obscurants by replacingobscured portions of an image captured at one wavelength range with acorresponding portion of an image that is captured at another portion ofthe wavelength range that is not absorbed by the obscurant. One exampleof such an algorithm is shown in FIG. 24, which is a logic flow diagramof a process 3050 for generating fused images utilizing a multispectralEMR source. In the following description of the process 3050, referenceshould also be made to FIG. 2 and FIG. 23. The process 3050 can beembodied as, for example, instructions stored in a memory 134 coupled toa control circuit 132 that, when executed by the control circuit 132,cause the control circuit 132 to perform the enumerated steps of theprocess 3050. For brevity, the process 3050 is described as beingexecuted by the control circuit 132; however, it should be understoodthat the process 3050 can be executed by other combinations of hardware,software, and/or firmware.

Accordingly, the control circuit 132 executing the process 3050 cancause the imaging system 142 to sense 3052 EMR (e.g., via the imagingdevice 3002) at a first wavelength range (e.g., visible light) from thesurgical site and then generate 3054 a corresponding first imagetherefrom. Correspondingly, the control circuit 132 can cause theimaging system 142 to sense 3056 EMR (e.g., via the imaging device 3002)at a second wavelength range (e.g., MWIR or LWIR) from the surgical siteand then generate 3058 a corresponding second image therefrom.

Accordingly, the control circuit 132 can determine 3060 whether thefirst image is at least partially obstructed. The control circuit 132can be configured to make this determination by detecting obstructionsutilizing object recognition and other computer vision techniques. Ifthe first image is not at least partially obstructed, then the process3050 proceeds along the NO branch and the control circuit 132 cancontinue sensing 3052, 3054 EMR and generating 3054, 3058 correspondingimages, as described above. If the first image is at least partiallyobstructed (i.e., there is an obstruction present within the image),then the process 3050 proceeds along the YES branch and the controlcircuit 132 can generate 3062 a third image by replacing the obstructedportion of the first image with the corresponding portion of the secondimage. If the second wavelength range was selected such that it is notabsorbed by the obscurant, then the corresponding portion of the secondimage should be unobstructed. Therefore, the third image should providean unobstructed visualization of the surgical site for viewing by thesurgeon.

For the brevity, the process 3050 is described in the context ofgenerating and combining two images captured at two different wavelengthranges; however, the imaging system 142 can be configured to sense andgenerate images at any number of wavelength ranges. FIG. 23, forexample, illustrates an implementation that combines image data from atleast three different EMR wavelength ranges to generate the resultingimage. Each of the depicted first image 3042 a, second image 3042 b,third image 3042 c, and fourth image 3042 d include an array of pixels3043 that collectively visualize the surgical site at the correspondingEMR wavelength range. In this example, the first image 3042 a wascaptured utilizing the visible light portion of the EMR spectrum andincludes a first unobstructed portion 3044 a, with the remainingportions of the image 3042 a being obstructed; the second image 3042 bwas captured utilizing the MWIR portion of the EMR spectrum and includesa second unobstructed portion 3044 b; and the third image 3042 c wascaptured utilizing the LWIR portion of the EMR spectrum and includes athird unobstructed portion 3044 c. The control system 133 can also beconfigured to perform various image processing techniques on the variousgenerated images to improve the visualizations provided thereby. Forexample, the fourth image 3042 d was also captured utilizing the visiblelight portion of the EMR spectrum and thus can correspond to the firstimage 3042 a, but includes additional image processing to identify afluid (water) obstructed portion 3044 d. Accordingly, the correspondingportion of the first image 3042 a could be filtered at a correspondingwavelength or wavelength range (e.g., the blue-green portion of thevisible light spectrum) to remove the obstruction. Accordingly, acontrol circuit 132 executing the process 3050 can be configured togenerate a combination or fused image 3070 from the aforementionedinitial images 3042 a, 3042 b, 3042 c, 3042 d. The fused image 3070 caninclude a first portion 3072 corresponding to the unobstructed portion3044 a of the first image 3042 a generated from the visible lightportion of the EMR spectrum, a second portion 3074 corresponding to theunobstructed portion 3044 b of the second image 3042 b generated fromthe MWIR portion of the EMR spectrum, a third portion 3076 correspondingto the unobstructed portion 3044 c of the third image 3042 c generatedfrom the LWIR portion of the EMR spectrum, and a fourth portion 3078corresponding to the obstructed portion 3044 d of an image generatedfrom the visible light portion of the EMR spectrum, but post-processedto remove the blue-green portion of the visible light spectrum. Each ofthe aforementioned image portions 3072, 3074, 3076, 3078 can be fusedtogether by the control system 133 to generate the fused image 3070 thatprovides for an unobstructed visualization of the tumor 3038 and anyother relevant structures 3040.

Another technique that can be utilized to compensate for obscurantspresent at the surgical site is to image sub-region interpolation,whereby portions of an image that are obscured, damaged, or otherwiseinterfered with can be replaced by corresponding portions of images froma synchronized image set. For example, a surgical control system couldutilize lucky-region fusion (LRF) techniques to enhance the quality ofthe visualization provided to users by using multiple image frames. Inone aspect, a control system can be configured to provide avisualization to a user that is free from obscurants by replacingobscured portions of an image with an unobscured portion of a previouslycaptured image. One example of such an algorithm is shown in FIG. 26,which is a logic flow diagram of a process 3100 for generating fusedimages utilizing multiple image frames. In the following description ofthe process 3100, reference should also be made to FIG. 2 and FIGS.27-29. The process 3100 can be embodied as, for example, instructionsstored in a memory 134 coupled to a control circuit 132 that, whenexecuted by the control circuit 132, cause the control circuit 132 toperform the enumerated steps of the process 3100. For brevity, theprocess 3100 is described as being executed by the control circuit 132;however, it should be understood that the process 3100 can be executedby other combinations of hardware, software, and/or firmware.

Accordingly, the control circuit 132 executing the process 3100 can(e.g., via the imaging system 142) generate 3102 an image of thesurgical site and then determine 3104 whether the image is at leastpartially obstructed, as described above. For example, FIG. 27 is adiagram of a series 3150 of n image frames 3160 captured by the imagingsystem 142. The nth image frame 3160 can be the most recently capturedimage frame 3160, the (n−1)th image frame 3160 can be the immediatelypreviously captured image frame 3160, and so on. Each of the imageframes 3160 comprises a number of pixels 3151, which may or may notcorrespond to the pixels or cells of an image sensor 135, for example.As can be seen in FIG. 27, the image frames 3160 can includeunobstructed portions 3162 and obstructed portions 3164. In evaluatingthe nth image frame 3160 specifically, a control circuit 123 executingthe process 3100 would determine that the nth image frame 3160 is atleast partially obstructed because it includes an obstructed portion3164 of pixels 3151.

If the control circuit 132 determines 3104 that the image is not atleast partially obstructed, then the process 3100 proceeds along the NObranch and the control circuit 132 can cause the imaging system 142 tocontinue generating images (i.e., visualizing the surgical site) forvisualization of the surgical site, as described above. If the controlcircuit 132 determines 3104 that the image is at least partiallyconstructed (e.g., as shown in the nth image frame 3160), then theprocess proceeds along the YES branch and the control circuit 132 canretrieve 3106 a prior image from the image set 3150. In one aspect, thecontrol circuit 132 can successively retrieve 3106 one or more priorimages from the image set 3150 until the control circuit 132 has locatedcorresponding unobstructed image portions with which they replace theobstructed portion(s) of the first image.

Accordingly, the control circuit 132 can generate 3108 an updated imagefrom the original image and the one or more prior images retrieved fromthe image set 3150. For example, FIG. 28 and FIG. 29 illustrated anupdated or fused image 3152 generated from multiple successive imageframes 3160. In this particular example, n is equal to 60, although thisis simply for illustrative purposes. In FIG. 28, the number indicatedwithin each pixel 3151 corresponds to the image frame 3160 from whichthe particular pixel 3151 was extracted. As can be seen, the fused image3152 is generated from a combination of pixels 3151 across a number ofdifferent image frames 3160. Specifically, image frames 3160 55 through60, which in turn correspond to the (n−5)th through nth image frames3160, respectively, as shown in FIG. 27. Accordingly, the controlcircuit 132 can be configured to repeatedly retrieve 3106 a precedingimage from the image set 3150 captured by the imaging system 142 andextract the image portions, such as the pixels 3151, that areunobstructed in the retrieved image, but correspond to pixels 3151 thatare obstructed in the successive image. The control circuit 132 canrepeat this process until a completely or substantially unobstructedcollection of image portions from the image set 3150 have been retrievedand then fuse the image portions together to generate 3108 an updatedimage. A resulting fused image 3152 generated using this technique isshown in FIG. 29, illustrating how a tumor 3038 and structures 3140,such as vessels, would be visualized for users from an initial partiallyobstructed image.

Another technique that can be utilized to compensate for obscurantspresent at the surgical site is to perform a comparative analysis of aset of synchronized imaging devices. A control system 133 could beconfigured to interlace multiple image portions generated by multiplesynchronized imaging devices to generate a fused image. In particular, aportion of an image generated by a first or primary imaging system(e.g., the imaging system 142 shown in FIG. 2) could be substituted witha corresponding portion of an image generated by a secondary imagingsystem. In particular, a set of imaging systems could be configured totime index their scans. Obscured, corrupted, indistinct, or otherwiseinterfered with portions of a first scan generated by a first imagingsystem could be replaced with clearer and/or verified portions of asecond scan (which is time indexed in accordance with the first scan)generated by a second imaging system. If image data is missing,corrupted, or obscured in the imaging of the primary dynamic data setgenerated by a first imaging system, a secondary scan from anotherimaging system (which could also be sensing in another wavelength orrange of wavelengths) could be utilized by a control system 133 tosharpen, replace, or interpolate the primary image to improve thevisualization of the surgical site for users.

Surgical System Control Based on Multiple Sensed Parameters

One issue that is inherent to any surgical procedures and surgicalinstruments is controlling the surgical instruments in an ideal mannerfor the given patient and/or tissue conditions. To that end, somesurgical instruments include sensors for sensing various parametersassociated with the surgical instruments and/or the tissues beingmanipulated by the surgical instruments. However, some sensed data canbe indicative of different states or conditions of the tissue and canthus be inconclusive absent additional data. Accordingly, a surgicalsystem could incorporate data from an imaging system with other senseddata to resolve ambiguities and control surgical instruments ideallyaccording to the determined state/condition of the tissue.

In one general aspect, the present disclosure is directed to a controlsystem configured to utilize of two sources of related, but notidentical, data sources to differentiate between different states of atissue being acted on by a surgical instrument. Such states thatinclude, for example, fluid flow within the tissue and thermal impactsof energy directed by a surgical instrument on the tissue. The controlsystem can be configured to control a surgical instrument, such as thesurgical instrument 3290 described below.

FIG. 30 is a schematic diagram of a surgical instrument 3290 configuredto control various functions, in accordance with at least one aspect ofthe present disclosure. In one aspect, the surgical instrument 3290 isprogrammed to control distal translation of a displacement member suchas the closure member 3264. The surgical instrument 3290 comprises anend effector 3292 that may comprise a clamp arm 3266, a closure member3264, and an ultrasonic blade 3268, which may be interchanged with orwork in conjunction with one or more RF electrodes 3296 (shown in dashedline). The ultrasonic blade 3268 is coupled to an ultrasonic transducer3269 driven by an ultrasonic generator 3271.

In one aspect, sensors 3288 may be implemented as a limit switch,electromechanical device, solid-state switches, Hall-effect devices, MRdevices, GMR devices, magnetometers, among others. In otherimplementations, the sensors 3288 may be solid-state switches thatoperate under the influence of light, such as optical sensors, IRsensors, ultraviolet sensors, among others. Still, the switches may besolid-state devices such as transistors (e.g., FET, junction FET,MOSFET, bipolar, and the like). In other implementations, the sensors3288 may include electrical conductorless switches, ultrasonic switches,accelerometers, and inertial sensors, among others.

In one aspect, the position sensor 3284 may be implemented as anabsolute positioning system comprising a magnetic rotary absolutepositioning system implemented as an AS5055EQFT single-chip magneticrotary position sensor available from Austria Microsystems, AG. Theposition sensor 3284 may interface with the control circuit 3260 toprovide an absolute positioning system. The position may includemultiple Hall-effect elements located above a magnet and coupled to aCORDIC processor, also known as the digit-by-digit method and Volder'salgorithm, that is provided to implement a simple and efficientalgorithm to calculate hyperbolic and trigonometric functions thatrequire only addition, subtraction, bitshift, and table lookupoperations.

In some examples, the position sensor 3284 may be omitted. Where themotor 3254 is a stepper motor, the control circuit 3260 may track theposition of the closure member 3264 by aggregating the number anddirection of steps that the motor has been instructed to execute. Theposition sensor 3284 may be located in the end effector 3292 or at anyother portion of the instrument.

The control circuit 3260 may be in communication with one or moresensors 3288. The sensors 3288 may be positioned on the end effector3292 and adapted to operate with the surgical instrument 3290 to measurethe various derived parameters such as gap distance versus time, tissuecompression versus time, and anvil strain versus time. The sensors 3288may comprise a magnetic sensor, a magnetic field sensor, a strain gauge,a pressure sensor, a force sensor, an inductive sensor such as an eddycurrent sensor, a resistive sensor, a capacitive sensor, an opticalsensor, and/or any other suitable sensor for measuring one or moreparameters of the end effector 3292. The sensors 3288 may include one ormore sensors.

An RF energy source 3294 is coupled to the end effector 3292 and isapplied to the RF electrode 3296 when the RF electrode 3296 is providedin the end effector 3292 in place of the ultrasonic blade 3268 or towork in conjunction with the ultrasonic blade 3268. For example, theultrasonic blade is made of electrically conductive metal and may beemployed as the return path for electrosurgical RF current. The controlcircuit 3260 controls the delivery of the RF energy to the RF electrode3296.

Additional details are disclosed in U.S. patent application Ser. No.15/636,096, titled SURGICAL SYSTEM COUPLABLE WITH STAPLE CARTRIDGE ANDRADIO FREQUENCY CARTRIDGE, AND METHOD OF USING SAME, filed Jun. 28,2017, which is herein incorporated by reference in its entirety.

In various aspects, the sensors 3288 of the surgical instrument 3290 caninclude sensors configured to detect or take measurements of variouselectrical parameters associated with a tissue acted on by the surgicalinstrument 3290, such as the capacitance or impedance of the tissue. Invarious aspects, the sensors 3288 can also include sensors configured todetect or take measurements of various physical parameters associatedwith the tissue acted on by the surgical instrument 3290, such as thetemperature, viscoelastic compression (e.g., the tissue creep, time tostability, or rate of initial loading), or thickness (e.g., which can bedetected upon first contact of the jaws with the tissue). Further, theimage sensor 135 of the control system 133 illustrated in FIG. 2 can beutilized to detect or take measurements of various tissue parametersbased on the EMR emitted by the imaging system 142 using the varioustechniques described above. For example, the image sensor 135 can beconfigured to detect the refractivity of the tissue at variouswavelengths, the polarization of EMR/light reflected by the tissue,passive IR emissions by the tissue, or Doppler wavelength shiftassociated with the tissue. Any of these imaging-based parameters can beutilized in conjunction with other sensed parameters (e.g., electricalor physical parameters) to ascertain the state or condition of thetissue that may not be directly ascertainable via the parametersindividually.

In one aspect, a control system can be configured to control one or moreoperational parameters associated with the surgical system based on thestate or condition of the tissue being acted on by a surgicalinstrument, which can be determined based on parameters sensed by theimaging system and other sensors. One example of such an algorithm isshown in FIG. 31, which is a logic flow diagram of a process 3300 forcontrolling a surgical system according to sensed parameters. In thefollowing description of the process 3300, reference should also be madeto FIG. 2 and FIG. 30. The process 3300 can be embodied as, for example,instructions stored in a memory 134 coupled to a control circuit 132that, when executed by the control circuit 132, cause the controlcircuit 132 to perform the enumerated steps of the process 3300. Forbrevity, the process 3300 is described as being executed by the controlcircuit 132; however, it should be understood that the process 3300 canbe executed by other combinations of hardware, software, and/orfirmware.

Accordingly, a control circuit 132 executing the process 3300 canreceive 3302 a measurement of a first tissue parameter via the imagingsystem 142. As noted previously, the first tissue parameter can include,for example, the refractivity of the tissue at various wavelengths, thepolarization of light reflected by the tissue, passive IR emissions bythe tissue, or Doppler wavelength shift associated with the tissue.

Accordingly, the control circuit 132 can receive 3304 a measurement of asecond tissue parameter via the sensor(s) 788. As noted previously, thesecond tissue parameter can include, for example, various electricaland/or physical characteristics of the tissue, such as the temperature,viscoelastic compression, or thickness of the tissue.

Accordingly, the control circuit 132 can determine 3306 a state orcondition of the tissue based on the combination of the measurements ofthe received 3302, 3304 tissue parameters and then control 3308 thesurgical instrument 3290 accordingly. The same measurement value forvarious electrical and/or physical characteristics of the tissue can beindicative of different conditions of the tissue, which can in turnnecessitate different control adjustments to be applied to the surgicalinstrument 3290. Absent additional or supplementary information, acontrol system 133 may not control the surgical instrument 3290correctly for the given condition of the tissue in situations where thetissue condition is ambiguous based on the measurement value for variouselectrical and/or physical characteristics of the tissue. Therefore, thepresently described control system supplements the electrical and/orphysical characteristic(s) sensed by the sensor(s) 3288 with a tissueparameter(s) sensed via the imaging system 142 in order to accuratelyascertain the state or condition of the tissue and then control thesurgical instrument 3290 in an appropriate manner. For example,different manners of controlling a surgical instrument 3290 could beappropriate in response to detecting an increase in the tissuetemperature (i.e., the second tissue parameter received 3304 during theprocess 3300) localized to the end effector 3292 of the surgicalinstrument 3290. If the control system 133 detects a correspondingchange in the polarization or refractivity of the tissue (i.e., thefirst tissue parameter received 3302 during the process 3300), then thecontrol circuit 132 can determine 3306 that the tissue is suffering fromcollateral thermal damage and control 3308 the surgical instrument 3290to decrease the instrument power level or provide a suggestion to theuser to decrease the instrument power level. Conversely, if nocorresponding change in the polarization or refractivity of the tissueis detected, then the control circuit 132 can determine 3306 that thetissue is not suffering from collateral thermal damage and control 3308the surgical instrument 3290 to maintain or increase the instrumentpower level or provide a suggestion to this effect. As another example,different manners of controlling a surgical instrument 3290 could beappropriate in response to detecting the tissue impedance (i.e., thesecond tissue parameter received 3304 during the process 3300) for thetissue grasped by the end effector 3292 of the surgical instrument 3290.If the control system 133 detects no change in the tissue impedancewhile the imaging system 142 visualizes movement, creep, or compressionof the tissue (i.e., the first tissue parameter received 3302 during theprocess 3300), then the control circuit 132 can determine 3306 thatthere is a subsurface irregularity in the grasped tissue.

The control system 133 described herein can be, for example, implementedon or executed by surgical instrument 3290, a surgical hub 2236 (FIG.21) to which a surgical instrument 3290 (e.g., an energy device 3241 asshown in FIG. 21) is communicably couplable, or a combination thereof(e.g., using a distributed processing protocol). When the control systemis embodied as a component of a surgical instrument 3290, the imagingdata can be received by either directly from the imaging system 142 orthrough a surgical hub 2106, 2236 (FIGS. 17-19), which is in turncoupled to an imaging system 142. When the control system 133 isembodied as a component of a surgical hub 2106, 2236, the imaging datacan be received from an imaging system 142 coupled to the surgical hub2106, 2236, the surgical instrument sensor data can be received from thesurgical instrument 3290 coupled to the surgical hub 2106, 2236, andthen the control system 133 of the surgical hub 2106, 2236 can determinethe appropriate surgical instrument control adjustments and transmitthem to the surgical instrument 3290 for execution thereby.

Adaptive Optics to Compensate for Imaging Artifacts

In one aspect, a control system, such as the control system 133described in connection with FIG. 2, can be configured to compensate forimaging artifacts associated with the imaging system 142 coupledthereto. In one aspect, the control system 133 can be configured toadjust the optical signal received by the imaging system 142 acrossmultiple light wavelengths in combination with selective imaging segmentselection within a sample rate above 60 Hz to remove optical particulateobstructions from visualization. In one aspect, the control system 133can be configured to emit a projected control beam (e.g., via theimaging system 142) and correspondingly monitor the return signal on anisolated frame of the scanning array (e.g., of the image sensor 135) todetermine the distortion of the EMR/light by particulates within thegasses occupying the body cavity. The variance of the control projectionfrom its source would give the control system 133 a baseline by which toadjust the scope visualization frames in a later portion of the scan.

Surgical System Control Based on Airborne Particulate Characteristics

One issue inherent to surgical procedures using electrosurgicalinstruments is the smoke generated by the instruments. Surgical smokecan include toxic gas and vapors; bioaerosols, including dead and livingcell material, blood fragments, and viruses; and mutagenic andcarcinogenic compounds. Therefore, it is highly desirable to removethese particulates from the surgical site and, accordingly, smokeevacuators are generally utilized in surgical procedures that result inthe generation of surgical smoke. However, it would be desirable tocontrol smoke evacuators and other surgical devices (including surgicalinstruments) according to the type(s) of particulates being generatedbecause different particulate types may necessitate different types ofcontrol adjustments to precisely control and mitigate the generation ofsmoke during the surgical procedure. A surgical system could, e.g.,change the surgical instrument energy profile to generate less smokeand/or automatically control the smoke evacuator according to the typeof particulate being generated.

In one general aspect, the present disclosure is directed to a controlsystem configured to detect the level of polarization of light emittedby an imaging system to determine a parameter of a particulate cloud andadjust the control parameters of a linked system or device accordingly.In one further aspect, the polarization of the EMR reflected from thedetected particulates can be utilized in combination with thevectorization and quantity of the generated particulates to determinethe source of the particulates, which can in turn be utilized to controlthe device(s) causing the generation of the particulates to improvevisualization at the surgical site. In one further aspect, thepolarization of the EMR reflected from the detected particulates couldbe utilized to determine whether adjusting the control parameters of anelectrosurgical instrument or a smoke evacuator would be more effectiveat improving visualization at the surgical site.

FIG. 32 is a diagram of a polarizing EMR source 3500 for detectingdifferent particulate types, in accordance with at least one aspect ofthe present disclosure. The polarizing EMR source 3500 can include anemitter 3502 configured to emit EMR 3506 and a polarizing filter 3504configured to polarize the emitted EMR 3506. The polarizing filter 3504can be removably affixable or integrally affixed to the emitter 3502.The polarizing EMR source 3500 can be embodied as a component of animaging system, which can include the surgical visualization system 100shown in FIG. 1, the imaging system 142 shown in FIG. 2, and/or thesurgical visualization system 500 shown in FIG. 5, for example.Correspondingly, the emitter 3502 can include the emitter 106 shown inFIG. 1, the structured light source 152 shown in FIG. 2, the spectrallight source 150 shown in FIG. 2, and so on. The imaging system can inturn be embodied as a component of a surgical system, such the roboticsurgical system 110 shown in FIG. 1, which can further include a controlsystem configured to control various aspects of the surgical system. Thecontrol system can include the control system 133 shown in FIG. 2 and/orthe control system 600 shown in FIG. 11, for example.

During a surgical procedure, airborne particulates may be present at thesurgical site. These particulates can include both naturally occurringparticulates and non-natural or synthetic particulates. Naturallyoccurring particulates can be generated due to the interactions betweenthe surgical instruments, such as an electrosurgical instrument, and thetissue being treated. Naturally occurring particulates can include, forexample, dead and living cell material, blood fragments, and otherbiological material. Man-made or synthetic particulates can beintroduced to the surgical site by surgical staff. These particulatescan be embodied as smoke or aerosols present within or at the surgicalsite. Generally speaking, the presence of such particulates can beundesirable, so many surgical systems include a smoke evacuator toremove undesired smoke or aerosols from the surgical site. However, theimaging system can be configured to detect the particulates (i.e.,smoke) generated at the surgical site and the control system can beconfigured to control various operational parameters of the surgicalsystem or components thereof based on the characteristics or propertiesof the detected particulates. Some examples of such control algorithmsare described herein.

Referring back to FIG. 32, as noted above, airborne particulates at asurgical site can include both naturally occurring particulates 3510 andman-made particulates 3512. It can be beneficial to be able todistinguish between the different types of particulates present at thesurgical site because different actions may be needed to mitigate thepresence of each of the different types of particulates. For example, ifthe detected particulate types are naturally occurring particulates3510, which can be created from an electrosurgical instrument treating atissue, then it may be desirable to control the electrosurgicalinstrument to mitigate the generation of the naturally occurringparticulates 3510 (e.g., by decreasing the energy duty cycle orotherwise altering the energy delivery profile of the instrument).Conversely, if the detected particulate types are synthetic particulates3512, then controlling the electrosurgical instrument would have noeffect on the presence of the synthetic particulates 3512 since thatparticulate type is not generated by the action of the electrosurgicalinstrument. Instead, it may be desirable to increase the suction flowrate of a smoke evacuator to clear the synthetic particulates 3512 fromthe surgical site. Further, if a combination of different particulatetypes are detected at the surgical site, then it could be desirable tocontrol the electrosurgical instrument and the smoke evacuator incombination with each other, with varying control adjustments for eachdevice. Accordingly, a control system for a surgical system can beconfigured to detect the different types of airborne particulatespresent at the surgical site and control the various devices orcomponents of the surgical system appropriately to mitigate or eliminatethe particulates from the surgical site.

In one aspect, naturally occurring particulates 3510 and syntheticparticulates 3512 can be distinguished from each other based upon thereflective characteristics of the airborne particulates 3510, 3512 whensubject to polarized EMR 3506. For example, a control system 133 can beconfigured to cause the emitter 3502 to pulse coherent EMR, with andwithout polarization, at multiple different wavelength in order todetermine the distance to the body that is subject to the surgicalprocedure and define a range gate so that the control system 133 is onlytaking depolarization measurements from EMR 3506 reflected fromparticulates within the air space between the emitter 3502 and the bodycavity and not from the body cavity itself. In particular, the controlsystem 133 can be configured to cause the emitter 3502 to pulse coherentEMR at a first wavelength and a second wavelength. The first wavelengthcan be selected such that the EMR at the first wavelength issubstantially non-interactive with naturally occurring particulates 3510and synthetic particulates 3512 and can therefore penetrate smoke and bereflected from the body cavity. The control system 133 can thendetermine the distance to the body cavity via, for example, atime-of-flight sensor system 1104, 1204, as described in connection withFIGS. 14-16, according to the difference in time between when the EMR isemitted and when the reflected EMR is detected. The second wavelengthcan be selected such that the EMR at the second wavelength issubstantially interactive with naturally occurring particulates 3510 andsynthetic particulates 3512 and can therefore be utilized to detect ormeasure characteristics associated with the different particulate types.Accordingly, the control system 133 can utilize the body cavity distancedetermined by pulsing EMR at the first wavelength to range gate themeasurements received by the EMR at the second wavelength to ensure onlythat measurements are being taken of airborne particulates. The controlsystem 133 can then determine whether the airborne particulates arenaturally occurring particulates 3510 and/or synthetic particulates 3512based on the reflective characteristics of the airborne particulates3510, 3512 and control the other components of the surgical systemaccordingly.

In one aspect, a control system can be configured to control one or moreoperational parameters associated with the surgical system based on thetype of airborne particulates detected at a surgical site. Example ofsuch algorithms are shown in FIG. 33A, which is a logic flow diagram ofa process 3600 for controlling a surgical system according to detectedparticulate types, and FIG. 33B, which is a logic flow diagram of aprocess 3650 for controlling a surgical system according to detectedparticulate types detected within a defined range gate. In the followingdescription of the processes 3600, 3650, reference should also be madeto FIG. 2. The processes 3600, 3650 can be embodied as, for example,instructions stored in a memory 134 coupled to a control circuit 132that, when executed by the control circuit 132, cause the controlcircuit 132 to perform the enumerated steps of the processes 3600, 3650.For brevity, the processes 3600, 3650 are described as being executed bythe control circuit 132; however, it should be understood that theprocesses 3600, 3650 can be executed by other combinations of hardware,software, and/or firmware.

Turning now specifically to FIG. 33A, the control circuit 132 executingthe process 3600 can cause an imaging system 142 to emit 3602 polarizedEMR directed at a surgical site via, for example, the polarizing EMRsource 3500.

Accordingly, the control circuit 132 can receive 3604 the polarized EMRreflected from the airborne particulates at the surgical site (e.g.,within the body cavity) and determine 3606 whether the detectedparticulate type is a naturally occurring particulate 3510 or a man-madeparticulate 3512. The control circuit 132 can differentiate between thedifferent types of airborne particulates 3510, 3512 due to theirdifferent reflective characteristics when subject to polarized EMR. Inparticular, one of the types of the airborne particulates 3510, 3512(e.g., man-made particulates 3512) could scatter polarized EMR at ahigher rate than the other type (e.g., naturally occurring particulates3510). This would decrease the degree of visualization of the scatteringairborne particulate type or otherwise affect the manner in which thereflected EMR is received by the image sensor 135 of the imaging system142. Therefore, this difference in visualization of the different typesof airborne particulates 3510, 3512 can be characterized and utilized toidentify the types of airborne particulates 3510, 3512 present at thesurgical site (e.g., within the body cavity).

Accordingly, if the particulates are naturally occurring particulates3510, then the process 3600 can proceed along the YES branch and thecontrol circuit 132 can adjust 3608 a control parameter of the surgicalsystem to a first state corresponding to naturally occurringparticulates 3510. Conversely, if the particulates are man-madeparticulates 3512, then the process 3600 can proceed along the NO branchand the control circuit 132 can adjust 3610 the control parameter of thesurgical system to a second state corresponding to man-made particulates3512.

In another aspect, there could be various combinations of naturallyoccurring particulates 3510 and man-made particulates 3512 presentwithin the body cavity. In such a case, the control circuit 132 couldinstead determine a relative ratio of the types of airborne particulates3510, 3512 present within the body cavity (e.g., due to the relativedegree by which visualization is reduced or impacted) and then control asurgical device or combination of surgical devices accordingly.

In yet another aspect, a control system can be configured to range gatethe measurements and/or visualization based on the polarizing EMR source3500. Such an aspect can be embodied by the process 3650 illustrated inFIG. 33B.

Accordingly, the control circuit 132 executing the process 3650 cancause the imaging system 142 to emit 3652 EMR at a first wavelengthdirected at a surgical site via, for example, a structured light source152 and/or a spectral light source 150. In one aspect, the firstwavelength can be a wavelength that is substantially non-interactivewith the naturally occurring particulates 3510 and syntheticparticulates 3512 that are to be imaged by the imaging system 142.

Accordingly, the control circuit 132 can, via the imaging system 142,receive 3654 the EMR reflected from the body cavity (i.e., surgicalsite) and define 3656 a range gate corresponding to the airspace betweenthe emitter(s) of the imaging system 142 and the body cavity surface, asis described above.

Accordingly, the control circuit 132 can cause the imaging system 142 toemit 3658 polarized EMR at a second wavelength directed at a surgicalsite via, for example, a polarizing EMR source 3500. In one aspect, thesecond wavelength can be a wavelength that is substantially interactivewith the naturally occurring particulates 3510 and syntheticparticulates 3512 that are to be imaged by the imaging system 142.

Accordingly, the control circuit 132 can, via the imaging system 142,receive the polarized EMR reflected within the defined range gate, whichcould correspond to the airborne particulates 3510, 3512 located betweenthe emitter(s) of the imaging system 142 and the body cavity surface.The control circuit 132 can then determine 3662 whether the detectedparticulate type is a naturally occurring particulate 3510 or a man-madeparticulate 3512 and adjust 3608, 3610 a control parameter of thesurgical system to a first state or a second state, as is describedabove with respect to the process 3600 shown in FIG. 33A.

In another aspect, the surgical system can further be configured totrack the movement of the airborne particulates throughout the course ofa surgical procedure, which can in turn be utilized to characterize themovement and change in size or configuration of a cloud defined by theairborne particulates. By characterizing the movement of the airborneparticulates over time, the surgical system can, for example, determinehow well the smoke evacuation of the body cavity is performing and thenadjust or provide recommendations to the user to adjust the location ormagnitude of smoke evacuation or insufflation. For example, the surgicalsystem could deactivating a first smoke evacuator or first insufflatorand activate a second smoke evacuator or second insufflator to adjustthe gaseous circulation currents within the body cavity and therebymitigate any eddies within the body cavity (i.e., areas where themovement vectors of the particulates and/or gasses are zero or nearzero) to improve smoke evacuation performance. As another example, thesurgical system could adjust a motor or fan level of a smoke evacuatoror insufflator to improve smoke evacuation performance.

In one aspect, the control system 133 can be configured to track andcharacterize the movement of airborne particulates by characterizing thedetection of particulates across the cells or pixels of an image sensor135. In particular, the control system 133 can determine at which pixelsthe image sensor 135 has detected particulates and then track themovement of the particulates over time across the pixel array of theimage sensor 135. In one aspect, the control system 133 can beconfigured to divide an image obtained via an image sensor 135 into twoor more pixel array sections, generate a movement vector correspondingto the generalized change in position by the detected airborneparticulates from a first time instance to a second time instance, andthen characterize the movement or change in configuration of theparticulate cloud accordingly.

For example, FIGS. 34A-C illustrate a pixel array 3700 of an imagesensor 135 that consists of a number of pixels 3701. Further, FIGS.34A-C indicate the change in detected particulate position over time anda generalized particulate cloud movement vector calculated therefrom. Itshould be noted that although the pixel array 3700 is depicted as beinga 5×5 array, this is simply for illustrative purposes and neither theimage sensor 135 nor a selected subsection of the pixels thereof arerestricted to being a 5×5 array. In the following description of FIGS.34A-C, reference should also be made to FIG. 2.

FIG. 34A illustrates the detection array 3700 at time t₁, whichindicates the detection of a first particulate 3702 a, secondparticulate 3702 b, third particulate 3702 c, fourth particulate 3702 d,and fifth particulate 3702 e at the indicated pixels 3701 of the imagesensor 135. FIG. 34B illustrates the detection array 3700 at time t₂,which indicates that the first and fifth particulates 3702 a, 3702 ehave not changed positions and the second, third, and fourth particulate3702 b, 3702 c, 3702 d have been detected at different pixels 3701 ofthe image sensor 135. Based on the detected movements of theparticulates, the control circuit 132 can be configured to determine avector representation of the movement of each of the pixels. The vectorrepresentations can include both a direction and a magnitude. Based onthe directions and magnitudes of the movement vectors, the controlcircuit 132 can be further configured to calculate (e.g., using vectoraddition) a vector 3704 corresponding to the generalized movement of thecloud defined by the detected particulates. Accordingly, the controlcircuit 132 can track the change in a particulate cloud or aerosol froma first state 3710 (e.g., a first position or a first size) to a secondstate 3712 (e.g., a second position or a second size), as shown in FIG.35, according to the vector 3704 calculated from the change in pixels ofthe image sensor 135 at which the particulates are detected.

In one aspect, a control circuit 132 coupled to the image sensor 135 canbe configured to track the movements of detected airborne particulates,calculate a generalized movement vector corresponding to the changes inposition of the detected airborne particulates within the pixel array3700 (which can represent the entire pixel array of the image sensor 135or a subsection thereof), and then control various connected surgicaldevices, such as insufflators, smoke evacuators, and/or surgicalinstruments accordingly. In one aspect, the control system 133 includingthe control circuit 132 can be embodied as a surgical hub 2106, 2236 asdescribed above under the heading SURGICAL HUB SYSTEM. In this aspect,the surgical devices can be communicatively connected to (e.g., pairedwith) a surgical hub 2106, 2236 and controlled according to thedescribed systems and processes.

In another aspect, the control system 133 can be configured to utilizeRaman spectroscopy techniques to determine vibrational/rotationalaspects of the airborne particulates using, for example, near IR, UV, ora combination of near IR and UV wavelengths. Data derived from suchtechniques could, for example, provide information on the gas phasespecies (e.g., benzenes vs. aldehydes), which in turn could giveinsights into the type of tissue from which the particulates weregenerated or to the efficiency of the energy being applied to thetissue. The control system 133 can include, for example, a filter (e.g.,a bandpass or notch filter) coupled to the detector to filter outelastic scattering of the source EMR, since the desired information ofthe species is contained in the inelastic scattering of the EMR. Thesignals generated by the image sensor 135 or another such detector(e.g., a CCD detector) according to the Raman spectroscopy techniquescan be based on the intrinsic structural properties of the detectedmolecules. In particular, Raman spectroscopy is based on the conceptthat, e.g., a photon emitted by an appropriate emitter excites amolecule to a higher energy state, which causes the scattered photon tochange frequency as a result of conserving energy from thevibrational/rotational change in the molecule. This change in frequencyof the scattered photon can be utilized to characterize the type ofmolecule with which the photon interacted with by comparing the detectedsignal with pre-characterized data for a given excitation frequencyaccording to the particular type of monochromatic light source utilized.The determined molecule type of the particulates could be utilized for anumber of different applications, including providing specific data onrelative amounts of potentially hazardous molecules being generated atthe surgical site for safety monitoring purposes. The determinedmolecule type of the particulates could also be utilized to assess theeffectiveness and health of the smoke evacuator system or a filterthereof.

Surgical System Control Based on Smoke Cloud Characteristics

One issue inherent to surgical procedures using electrosurgicalinstruments is the smoke generated by the instruments. Surgical smokecan include toxic gas and vapors; bioaerosols, including dead and livingcell material, blood fragments, and viruses; and mutagenic andcarcinogenic compounds. Therefore, it is highly desirable to removethese particulates from the surgical site and, accordingly, smokeevacuators are generally utilized in surgical procedures that result inthe generation of surgical smoke. However, it would be desirable tocontrol smoke evacuators and other surgical devices (including surgicalinstruments) according to the amount of smoke at the surgical site, thevariation in the smoke cloud over time (e.g., whether a smoke cloud isactively accumulating or diminishing), and other such smoke cloudcharacteristics in order to precisely control and mitigate thegeneration of smoke during the surgical procedure. A surgical systemcould, e.g., change the surgical instrument energy profile to generateless smoke and/or automatically control the smoke evacuator according tothe amount of surgical smoke being generated.

In one general aspect, the present disclosure is directed to a surgicalsystem configure to detect and characterize amorphous, three-dimensionalparticulate clouds generated during surgical procedures. The surgicalsystem can be configured to detect the movements of the particulatecloud within the abdominal cavity and relative to the surgical site andthen control various surgical devices, such as surgical instruments or asmoke evacuator, accordingly. In one general aspect, the presentdisclosure is directed to a control system configured to define asurface or boundary of a cloud or particulate cluster generated during asurgical procedure and analyze various characteristics of the definedcloud, such as the direction and rate-of-change of the boundary, tocontrol various control parameters of a surgical system, such as thepower level of a surgical instrument/generator or smoke evacuation motorcontrol. In one further aspect, the control system can be configured todevelop the boundary by defining a predefined density of theparticulates based on the overall volume of the particulates or the sizeof the particulates. In another further aspect, the rate-of-change ofthe particulate cloud surface boundary can be utilized to directionallydefine the rate of change of the energy device or the smoke evacuationmechanism.

FIG. 36 is a diagram of a surgical system 3750 during the performance ofa surgical procedure in which a particulate cloud 3752 is beinggenerated, in accordance with at least one aspect of the presentdisclosure. The surgical system 3750 can be embodied as a roboticsurgical system, such as the robotic surgical system 110 shown in FIG.1, for example. The surgical system 3750 can include an electrosurgicalinstrument 3754, a smoke evacuator 3756, a grasper 3750, and any othersurgical devices for treating, cutting, or otherwise manipulating atissue 3760 for a surgical procedure. Although not shown in FIG. 36, thesurgical system 3750 can further include an imaging system, which caninclude the surgical visualization system 100 shown in FIG. 1, theimaging system 142 shown in FIG. 2, and/or the surgical visualizationsystem 500 shown in FIG. 5, for example. The surgical system 3750 canstill further include a control system, which can include the controlsystem 133 shown in FIG. 2 and/or the control system 600 shown in FIG.11, for example.

During a surgical procedure, airborne particulates 3751 may be generateddue to the interactions between the surgical instruments, such as anelectrosurgical instrument 3754, and the tissue 3760 being treated.These particulates 3751 can be embodied as a cloud 3752 of smoke or anaerosol present within or at the surgical site. Generally speaking, thepresence of such particulates 3751 can be undesirable, so many surgicalsystems 3750 include a smoke evacuator 3756 to remove the particulates3751 from the surgical site. However, the imaging system can beconfigured to image the particulates 3751 and/or smoke generated at thesurgical site and the control system can be configured to controlvarious operational parameters of the surgical system 3750 or componentsthereof based on the characteristics or properties of the imaged smoke.Some examples of such control algorithms are described herein.

In one aspect, a control system can be configured to control one or moreoperational parameters associated with the surgical system 3750 based onone or more characteristics associated with a smoke cloud generated at asurgical site. One example of such an algorithm is shown in FIG. 37,which is a logic flow diagram of a process 3800 for controlling asurgical system according to particulate cloud characteristics. In thefollowing description of the process 3800, reference should also be madeto FIG. 2. The process 3800 can be embodied as, for example,instructions stored in a memory 134 coupled to a control circuit 132that, when executed by the control circuit 132, cause the controlcircuit 132 to perform the enumerated steps of the process 3800. Forbrevity, the process 3800 is described as being executed by the controlcircuit 132; however, it should be understood that the process 3800 canbe executed by other combinations of hardware, software, and/orfirmware.

Accordingly, the control circuit 132 executing the process 3800 candetect 3802 the presence of airborne particulates within the FOV of theimaging system 142 using any of the techniques described above. Ingeneral, the image sensor 135 of the imaging system 142 can detect EMRemitted by a structured light source 152 and/or a spectral light source150 and reflected by the airborne particulates to detect/image theparticulates.

Accordingly, the control circuit 132 can characterize 3804 theparticulate cloud defined by the detected particulates. In one aspect,the control circuit 132 can be configured to define a three-dimensionalboundary of the particulate cloud to delineate an amorphous,three-dimensional construct whose density, volume, position, movement,and/or boundaries can be tracked over time. The boundary of theparticulate cloud at the surgical site can be defined in a variety ofdifferent manners. For example, the particulate cloud boundary can bedefined as the volume encompassing all of the airborne particulatesdetected within the FOV of the imaging system 142. As another example,the particulate cloud boundary can be defined as the volume having athreshold density of airborne particulates.

Accordingly, the control circuit 132 can determine 3806 whether one ormore characteristics of the particulate cloud violate a threshold. Suchtracked characteristics can include, for example, the density of theparticulate cloud, volume of the particulate cloud, position of theparticulate cloud and/or its boundary, movement of the particulate cloudand/or its boundary, and/or the rate of change or other derivative ofany of the aforementioned characteristics. The threshold(s) for thetracked characteristics can be preprogrammed or dependent upon otherparameters, such as the surgical context (e.g., the type of surgicalprocedure being performed). If a threshold is not violated, then theprocess 3800 can proceed along the NO branch and the control circuit 132can continue as described above until, for example, a stopping criterionhas been satisfied (e.g., the surgical procedure being completed). If athreshold is violated, then the process 3800 can proceed along the YESbranch and the control circuit 132 can continue as described below.

Accordingly, the control circuit 132 can adjust 3808 one or more controlparameters of the surgical system 3750. The control parameters that areadjustable by the control circuit 132 can include surgicalinstrument/generator energy level, smoke evacuator suction,visualization parameters, and so on. For example, FIG. 38 is a series ofgraphs 3850, 3852, 3854 illustrating the adjustment of controlparameters based on particulate cloud characteristics by a controlcircuit 132 executing the process 3800. The first graph 3850 illustratesa first line 3860 indicating the change in smoke cloud density,represented by the vertical axis 3856, over time, represented by thehorizontal axis 3858. The second graph 3852 illustrates a second line3868 indicating the change in energy duty cycle of an electrosurgicalinstrument 3754 (or the generator driving the electrosurgical instrument3754), represented by the vertical axis 3866, over time, represented bythe horizontal axis 3858. The third graph 3854 illustrates a third line3880 indicating the change in the smoke evacuation or suction flow rateof a smoke evacuator 3756, represented by the vertical axis 3878, overtime, represented by the horizontal axis 3858. In combination, thegraphs 3850, 3852, 3854 illustrate a representative, propheticimplementation of the process 3800 during a surgical procedure, whereinthe process 3800 adjusts 3808 the electrosurgical instrument energy dutycycle and smoke evacuator suction flow rate control parameters accordingto the characterized smoke cloud density.

Initially, the electrosurgical instrument 3754 is not applying energy tothe captured tissue 3760, as indicated by a first graphic 3890.Accordingly, the energy duty cycle of the electrosurgical instrument3754 is zero, the smoke evacuator suction flow rate is at a base ordefault rate, and no smoke is being generated (because no energy isbeing applied to the tissue 3760). At time t₁, the surgeon activates theelectrosurgical instrument 3754 and begins applying energy to the tissue3760, represented by the energy duty cycle increasing 3870 from zero toE₃. Due to the application of energy to the tissue 3760, smoke begins tobe generated at the surgical site, represented by the smoke clouddensity sharply increasing 3862 from zero a period of time after t₁.Further, in response to the energy being activated, the smoke evacuatorflow rate can be increased 3882 by the control circuit 132 from Q₁ to Q₂as the smoke evacuator 3756 begins attempting to remove the generatedsmoke from the surgical site. At this stage, the control circuit 132 canbegin detecting 3802 the airborne particulates generated by theapplication of energy and characterizing 3804 the corresponding smokecloud defined by the airborne particulates.

At time t₂, the application of energy to the tissue 3760 has caused asmoke cloud 3752 to develop at the surgical site, as indicated by asecond graphic 3892. The control circuit 132 can determine 3806 that thecloud density has exceeded a smoke cloud density threshold (e.g., asrepresented by D₃). Accordingly, the control circuit 132 adjusts 3808the electrosurgical instrument energy duty cycle control parameter bydecreasing 3872 it from E₃ to E₂. The control circuit 132 can elect tomake this adjustment because applying lower levels of energy to a tissue3760 can result in less smoke being generated. In response, the smokecloud density begins decreasing 3864 at time t₁.

At time t₃, the smoke cloud 3752 has decreased in size, but has notcompletely dissipated, as indicated by a third graphic 3894. The controlcircuit 132 can determine 3806 that the cloud density is not decreasingat a fast enough rate or that some other characteristic of the smokecloud is violating some other threshold. Accordingly, the controlcircuit 132 again adjusts 3808 the electrosurgical instrument energyduty cycle control parameter by decreasing 3874 it from E₂ to E₁ inorder mitigate further smoke generation.

At time t₄, the smoke cloud 3752 has nearly dissipated, as indicated bythe fourth graphic 3896. The control circuit 132 can determine 3806 candetermine 3806 that the smoke cloud has violated another threshold, suchas the cloud density being above a particular level (e.g., asrepresented by D₁) for longer than a threshold period of time (e.g., asrepresented by t₄). Accordingly, the control circuit 132 adjusts thesmoke evacuator suction flow rate control parameter by increasing 3884it from Q₂ to Q₃ in order to fully remove the smoke particulates fromthe surgical site.

It should be noted that the implementation of the process 3800 embodiedby FIG. 38 is provided for illustrative purposes and simply representsone possible implementation. In particular, different control parameterscan be controlled by the process 3800, different thresholds can beutilized, different smoke cloud characteristics can be tracked, and soon. Therefore, FIG. 38 should not be construed to limit the process 3800of FIG. 37 or any other described systems and methods in any way.

Example Clinical Applications

Various surgical visualization systems disclosed herein may be employedin one or more of the following clinical applications. The followingclinical applications are non-exhaustive and merely illustrativeapplications for one or more of the various surgical visualizationsystems disclosed herein.

A surgical visualization system, as disclosed herein, can be employed ina number of different types of procedures for different medicalspecialties, such as urology, gynecology, oncology, colorectal,thoracic, bariatric/gastric, and hepato-pancreato-biliary (HPB), forexample. In urological procedures, such as a prostatectomy, for example,the ureter may be detected in fat or connective tissue and/or nerves maybe detected in fat, for example. In gynecological oncology procedures,such as a hysterectomy, for example, and in colorectal procedures, suchas a low anterior resection (LAR) procedure, for example, the ureter maybe detected in fat and/or in connective tissue, for example. In thoracicprocedures, such as a lobectomy, for example, a vessel may be detectedin the lung or in connective tissue and/or a nerve may be detected inconnective tissue (e.g., an esophagostomy). In bariatric procedures, avessel may be detected in fat. In HPB procedures, such as a hepatectomyor pancreatectomy, for example, a vessel may be detected in fat(extrahepatic), in connective tissue (extrahepatic), and the bile ductmay be detected in parenchyma (liver or pancreas) tissue.

In one example, a clinician may want to remove an endometrial myoma.From a preoperative magnetic resonance imaging (MRI) scan, the clinicianmay know that the endometrial myoma is located on the surface of thebowel. Therefore, the clinician may want to know, intraoperatively, whattissue constitute a portion of the bowel and what tissue constitutes aportion of the rectum. In such instances, a surgical visualizationsystem, as disclosed herein, can indicate the different types of tissue(bowel versus rectum) and convey that information to a clinician via animaging system. Moreover, the imaging system can determine andcommunicate the proximity of a surgical device to the select tissue. Insuch instances, the surgical visualization system can provide increasedprocedural efficiency without critical complications.

In another example, a clinician (e.g. a gynecologist) may stay away fromcertain anatomic regions to avoid getting too close to criticalstructures and, thus, the clinician may not remove all of theendometriosis, for example. A surgical visualization system, asdisclosed herein, can enable the gynecologist to mitigate the risk ofgetting too close to the critical structure such that the gynecologistcan get close enough with the surgical device to remove all theendometriosis, which can improve the patient outcomes (democratizingsurgery). Such a system can enable the surgeon to “keep moving” duringthe surgical procedure instead of repeatedly stopping and restarting inorder to identify areas to avoid, especially during the application oftherapeutic energy such as ultrasonic or electrosurgical energy, forexample. In gynecological applications, uterine arteries and ureters areimportant critical structures and the system may be particularly usefulfor hysterectomy and endometriosis procedures given the presentationand/or thickness of tissue involved.

In another example, a clinician may risk dissection of a vessel at alocation that is too proximal and, thus, which can affect blood supplyto a lobe other than the target lobe. Moreover, anatomic differencesfrom patient to patient may lead to dissection of a vessel (e.g. abranch) that affects a different lobe based on the particular patient. Asurgical visualization system, as disclosed herein, can enable theidentification of the correct vessel at the desired location, whichenables the clinician to dissect with appropriate anatomic certainty.For example, the system can confirm that the correct vessel is in thecorrect place and then the clinician can safely divide the vessel.

In another example, a clinician may make multiple dissections beforedissecting at the best location due to uncertainty about the anatomy ofthe vessel. However, it is desirable to dissect in the best location inthe first instance because more dissection can increase the risk ofbleeding. A surgical visualization system, as disclosed herein, canminimize the number of dissections by indicating the correct vessel andthe best location for dissection. Ureters and cardinal ligaments, forexample, are dense and provide unique challenges during dissection. Insuch instances, it can be especially desirable to minimize the number ofdissections.

In another example, a clinician (e.g. a surgical oncologist) removingcancerous tissue may want to know the identification of criticalstructures, localization of the cancer, staging of the cancer, and/or anevaluation of tissue health. Such information is beyond what a cliniciansees with the “naked eye”. A surgical visualization system, as disclosedherein, can determine and/or convey such information to the clinicianintraoperatively to enhance intraoperative decision making and improvesurgical outcomes. In certain instances, the surgical visualizationsystem can be compatible with minimally invasive surgery (MIS), opensurgery, and/or robotic approaches using either an endoscope orexoscope, for example.

In another example, a clinician (e.g. a surgical oncologist) may want toturn off one or more alerts regarding the proximity of a surgical toolto one or more critical structure to avoid being overly conservativeduring a surgical procedure. In other instances, the clinician may wantto receive certain types of alerts, such as haptic feedback (e.g.vibrations/buzzing) to indicate proximity and/or or “no fly zones” tostay sufficiently far away from one or more critical structures. Asurgical visualization system, as disclosed herein, can provideflexibility based on the experience of the clinician and/or desiredaggressiveness of the procedure, for example. In such instances, thesystem provides a balance between “knowing too much” and “knowingenough” to anticipate and avoid critical structures. The surgicalvisualization system can assist in planning the next step(s) during asurgical procedure.

Various aspects of the subject matter described herein are set out inthe following numbered examples.

Example 1. A control system for a surgical system, the control systemcomprising an imaging system and a control circuit coupled to theimaging system. The imaging system comprises an emitter configured toemit multispectral electromagnetic radiation (EMR) and an image sensor.The control circuit is configured to detect airborne particulates viathe image sensor based on the emitted EMR, characterize a boundary of aparticulate cloud containing the detected airborne particulates, andadjust a control parameter of the surgical system according to acharacteristic of the boundary of the particulate cloud.

Example 2. The control system of Example 1, wherein the control circuitis further configured to detect a change in the characteristic of theboundary of the particulate cloud and adjust the control parameter froma first value to a second value according to the change in thecharacteristic.

Example 3. The control system of Examples 1 or 2, wherein the surgicalsystem comprises a generator configured to drive an electrosurgicalinstrument and the control parameter comprises an energy duty cycle ofthe generator.

Example 4. The control system of Examples 1 or 2, wherein the surgicalsystem comprises a smoke evacuator and the control parameter comprisesat least one of a fan state or a motor state of the smoke evacuator.

Example 5. The control system of any one of Examples 1-4, wherein thecharacteristic of the boundary comprises a movement direction of theboundary.

Example 6. The control system of any one of Examples 1-4, wherein thecharacteristic of the boundary comprises a rate of change of theboundary.

Example 7. A control system for a surgical system, the control systemcomprising an imaging system and a control circuit coupled to theimaging system. The imaging system comprises a multispectralelectromagnetic radiation (EMR) source and an image sensor. The controlcircuit is configured to detect the EMR reflected from particulates inan aerosol as received by the image sensor, characterize a configurationof the aerosol containing the detected particulates, and adjust at leastone of a first control parameter or a second control parameter of thesurgical system according to the characterized configuration of theaerosol.

Example 8. The control system of Example 7, wherein the control circuitis further configured to detect a change in the configuration of theaerosol and adjust at least one of the first control parameter or thesecond control parameter from a first value to a second value accordingto the change in the configuration.

Example 9. The control system of Examples 7 or 8, wherein the surgicalsystem comprises a generator configured to drive an electrosurgicalinstrument and the first control parameter comprises an energy dutycycle of the generator.

Example 10. The control system of Examples 7 or 8, wherein the surgicalsystem comprises a smoke evacuator and the second control parametercomprises at least one of a fan state or a motor state of the smokeevacuator.

Example 11. The control system of any one of Examples 7-10, wherein theconfiguration comprises a movement direction of the aerosol.

Example 12. The control system of any one of Examples 7-10, wherein theconfiguration comprises a rate of change of the aerosol.

Example 13. A method of controlling a surgical system, the surgicalsystem comprising an imaging system, the imaging system comprising anemitter configured to emit multispectral electromagnetic radiation (EMR)and an image sensor. The method comprises detecting airborneparticulates via the image sensor based on the emitted EMR,characterizing a boundary of a particulate cloud containing the detectedairborne particulates, and adjusting a control parameter of the surgicalsystem according to a characteristic of the boundary of the particulatecloud.

Example 14. The method of Example 13, wherein the control circuit isfurther configured to detect a change in the characteristic of theboundary of the particulate cloud and adjust the control parameter froma first value to a second value according to the change in thecharacteristic.

Example 15. The method of Examples 13 or 14, wherein the surgical systemcomprises a generator configured to drive an electrosurgical instrumentand the control parameter comprises an energy duty cycle of thegenerator.

Example 16. The method of Examples 13 or 14, wherein the surgical systemcomprises a smoke evacuator and the control parameter comprises at leastone of a fan state or a motor state of the smoke evacuator.

Example 17. The method of any one of Examples 13-16, wherein thecharacteristic of the boundary comprises a movement direction of theboundary.

Example 18. The method of any one of Examples 13-16, wherein thecharacteristic of the boundary comprises a rate of change of theboundary.

While several forms have been illustrated and described, it is not theintention of Applicant to restrict or limit the scope of the appendedclaims to such detail. Numerous modifications, variations, changes,substitutions, combinations, and equivalents to those forms may beimplemented and will occur to those skilled in the art without departingfrom the scope of the present disclosure. Moreover, the structure ofeach element associated with the described forms can be alternativelydescribed as a means for providing the function performed by theelement. Also, where materials are disclosed for certain components,other materials may be used. It is therefore to be understood that theforegoing description and the appended claims are intended to cover allsuch modifications, combinations, and variations as falling within thescope of the disclosed forms. The appended claims are intended to coverall such modifications, variations, changes, substitutions,modifications, and equivalents.

The foregoing detailed description has set forth various forms of thedevices and/or processes via the use of block diagrams, flowcharts,and/or examples. Insofar as such block diagrams, flowcharts, and/orexamples contain one or more functions and/or operations, it will beunderstood by those within the art that each function and/or operationwithin such block diagrams, flowcharts, and/or examples can beimplemented, individually and/or collectively, by a wide range ofhardware, software, firmware, or virtually any combination thereof.Those skilled in the art will recognize that some aspects of the formsdisclosed herein, in whole or in part, can be equivalently implementedin integrated circuits, as one or more computer programs running on oneor more computers (e.g., as one or more programs running on one or morecomputer systems), as one or more programs running on one or moreprocessors (e.g., as one or more programs running on one or moremicroprocessors), as firmware, or as virtually any combination thereof,and that designing the circuitry and/or writing the code for thesoftware and or firmware would be well within the skill of one of skillin the art in light of this disclosure. In addition, those skilled inthe art will appreciate that the mechanisms of the subject matterdescribed herein are capable of being distributed as one or more programproducts in a variety of forms, and that an illustrative form of thesubject matter described herein applies regardless of the particulartype of signal bearing medium used to actually carry out thedistribution.

Instructions used to program logic to perform various disclosed aspectscan be stored within a memory in the system, such as dynamic randomaccess memory (DRAM), cache, flash memory, or other storage.Furthermore, the instructions can be distributed via a network or by wayof other computer readable media. Thus a machine-readable medium mayinclude any mechanism for storing or transmitting information in a formreadable by a machine (e.g., a computer), but is not limited to, floppydiskettes, optical disks, compact disc, read-only memory (CD-ROMs), andmagneto-optical disks, read-only memory (ROMs), random access memory(RAM), erasable programmable read-only memory (EPROM), electricallyerasable programmable read-only memory (EEPROM), magnetic or opticalcards, flash memory, or a tangible, machine-readable storage used in thetransmission of information over the Internet via electrical, optical,acoustical or other forms of propagated signals (e.g., carrier waves,infrared signals, digital signals, etc.). Accordingly, thenon-transitory computer-readable medium includes any type of tangiblemachine-readable medium suitable for storing or transmitting electronicinstructions or information in a form readable by a machine (e.g., acomputer).

As used in any aspect herein, the term “control circuit” may refer to,for example, hardwired circuitry, programmable circuitry (e.g., acomputer processor including one or more individual instructionprocessing cores, processing unit, processor, microcontroller,microcontroller unit, controller, digital signal processor (DSP),programmable logic device (PLD), programmable logic array (PLA), orfield programmable gate array (FPGA)), state machine circuitry, firmwarethat stores instructions executed by programmable circuitry, and anycombination thereof. The control circuit may, collectively orindividually, be embodied as circuitry that forms part of a largersystem, for example, an integrated circuit (IC), an application-specificintegrated circuit (ASIC), a system on-chip (SoC), desktop computers,laptop computers, tablet computers, servers, smart phones, etc.Accordingly, as used herein “control circuit” includes, but is notlimited to, electrical circuitry having at least one discrete electricalcircuit, electrical circuitry having at least one integrated circuit,electrical circuitry having at least one application specific integratedcircuit, electrical circuitry forming a general purpose computing deviceconfigured by a computer program (e.g., a general purpose computerconfigured by a computer program which at least partially carries outprocesses and/or devices described herein, or a microprocessorconfigured by a computer program which at least partially carries outprocesses and/or devices described herein), electrical circuitry forminga memory device (e.g., forms of random access memory), and/or electricalcircuitry forming a communications device (e.g., a modem, communicationsswitch, or optical-electrical equipment). Those having skill in the artwill recognize that the subject matter described herein may beimplemented in an analog or digital fashion or some combination thereof.

As used in any aspect herein, the term “logic” may refer to an app,software, firmware and/or circuitry configured to perform any of theaforementioned operations. Software may be embodied as a softwarepackage, code, instructions, instruction sets and/or data recorded onnon-transitory computer readable storage medium. Firmware may beembodied as code, instructions or instruction sets and/or data that arehard-coded (e.g., nonvolatile) in memory devices.

As used in any aspect herein, the terms “component,” “system,” “module”and the like can refer to a computer-related entity, either hardware, acombination of hardware and software, software, or software inexecution.

As used in any aspect herein, an “algorithm” refers to a self-consistentsequence of steps leading to a desired result, where a “step” refers toa manipulation of physical quantities and/or logic states which may,though need not necessarily, take the form of electrical or magneticsignals capable of being stored, transferred, combined, compared, andotherwise manipulated. It is common usage to refer to these signals asbits, values, elements, symbols, characters, terms, numbers, or thelike. These and similar terms may be associated with the appropriatephysical quantities and are merely convenient labels applied to thesequantities and/or states.

A network may include a packet switched network. The communicationdevices may be capable of communicating with each other using a selectedpacket switched network communications protocol. One examplecommunications protocol may include an Ethernet communications protocolwhich may be capable permitting communication using a TransmissionControl Protocol/Internet Protocol (TCP/IP). The Ethernet protocol maycomply or be compatible with the Ethernet standard published by theInstitute of Electrical and Electronics Engineers (IEEE) titled “IEEE802.3 Standard”, published in December, 2008 and/or later versions ofthis standard. Alternatively or additionally, the communication devicesmay be capable of communicating with each other using an X.25communications protocol. The X.25 communications protocol may comply orbe compatible with a standard promulgated by the InternationalTelecommunication Union-Telecommunication Standardization Sector(ITU-T). Alternatively or additionally, the communication devices may becapable of communicating with each other using a frame relaycommunications protocol. The frame relay communications protocol maycomply or be compatible with a standard promulgated by ConsultativeCommittee for International Telegraph and Telephone (CCITT) and/or theAmerican National Standards Institute (ANSI). Alternatively oradditionally, the transceivers may be capable of communicating with eachother using an Asynchronous Transfer Mode (ATM) communications protocol.The ATM communications protocol may comply or be compatible with an ATMstandard published by the ATM Forum titled “ATM-MPLS NetworkInterworking 2.0” published August 2001, and/or later versions of thisstandard. Of course, different and/or after-developedconnection-oriented network communication protocols are equallycontemplated herein.

Unless specifically stated otherwise as apparent from the foregoingdisclosure, it is appreciated that, throughout the foregoing disclosure,discussions using terms such as “processing,” “computing,”“calculating,” “determining,” “displaying,” or the like, refer to theaction and processes of a computer system, or similar electroniccomputing device, that manipulates and transforms data represented asphysical (electronic) quantities within the computer system's registersand memories into other data similarly represented as physicalquantities within the computer system memories or registers or othersuch information storage, transmission or display devices.

One or more components may be referred to herein as “configured to,”“configurable to,” “operable/operative to,” “adapted/adaptable,” “ableto,” “conformable/conformed to,” etc. Those skilled in the art willrecognize that “configured to” can generally encompass active-statecomponents and/or inactive-state components and/or standby-statecomponents, unless context requires otherwise.

The terms “proximal” and “distal” are used herein with reference to aclinician manipulating the handle portion of the surgical instrument.The term “proximal” refers to the portion closest to the clinician andthe term “distal” refers to the portion located away from the clinician.It will be further appreciated that, for convenience and clarity,spatial terms such as “vertical”, “horizontal”, “up”, and “down” may beused herein with respect to the drawings. However, surgical instrumentsare used in many orientations and positions, and these terms are notintended to be limiting and/or absolute.

Those skilled in the art will recognize that, in general, terms usedherein, and especially in the appended claims (e.g., bodies of theappended claims) are generally intended as “open” terms (e.g., the term“including” should be interpreted as “including but not limited to,” theterm “having” should be interpreted as “having at least,” the term“includes” should be interpreted as “includes but is not limited to,”etc.). It will be further understood by those within the art that if aspecific number of an introduced claim recitation is intended, such anintent will be explicitly recited in the claim, and in the absence ofsuch recitation no such intent is present. For example, as an aid tounderstanding, the following appended claims may contain usage of theintroductory phrases “at least one” and “one or more” to introduce claimrecitations. However, the use of such phrases should not be construed toimply that the introduction of a claim recitation by the indefinitearticles “a” or “an” limits any particular claim containing suchintroduced claim recitation to claims containing only one suchrecitation, even when the same claim includes the introductory phrases“one or more” or “at least one” and indefinite articles such as “a” or“an” (e.g., “a” and/or “an” should typically be interpreted to mean “atleast one” or “one or more”); the same holds true for the use ofdefinite articles used to introduce claim recitations.

In addition, even if a specific number of an introduced claim recitationis explicitly recited, those skilled in the art will recognize that suchrecitation should typically be interpreted to mean at least the recitednumber (e.g., the bare recitation of “two recitations,” without othermodifiers, typically means at least two recitations, or two or morerecitations). Furthermore, in those instances where a conventionanalogous to “at least one of A, B, and C, etc.” is used, in generalsuch a construction is intended in the sense one having skill in the artwould understand the convention (e.g., “a system having at least one ofA, B, and C” would include but not be limited to systems that have Aalone, B alone, C alone, A and B together, A and C together, B and Ctogether, and/or A, B, and C together, etc.). In those instances where aconvention analogous to “at least one of A, B, or C, etc.” is used, ingeneral such a construction is intended in the sense one having skill inthe art would understand the convention (e.g., “a system having at leastone of A, B, or C” would include but not be limited to systems that haveA alone, B alone, C alone, A and B together, A and C together, B and Ctogether, and/or A, B, and C together, etc.). It will be furtherunderstood by those within the art that typically a disjunctive wordand/or phrase presenting two or more alternative terms, whether in thedescription, claims, or drawings, should be understood to contemplatethe possibilities of including one of the terms, either of the terms, orboth terms unless context dictates otherwise. For example, the phrase “Aor B” will be typically understood to include the possibilities of “A”or “B” or “A and B.”

With respect to the appended claims, those skilled in the art willappreciate that recited operations therein may generally be performed inany order. Also, although various operational flow diagrams arepresented in a sequence(s), it should be understood that the variousoperations may be performed in other orders than those which areillustrated, or may be performed concurrently. Examples of suchalternate orderings may include overlapping, interleaved, interrupted,reordered, incremental, preparatory, supplemental, simultaneous,reverse, or other variant orderings, unless context dictates otherwise.Furthermore, terms like “responsive to,” “related to,” or otherpast-tense adjectives are generally not intended to exclude suchvariants, unless context dictates otherwise.

It is worthy to note that any reference to “one aspect,” “an aspect,”“an exemplification,” “one exemplification,” and the like means that aparticular feature, structure, or characteristic described in connectionwith the aspect is included in at least one aspect. Thus, appearances ofthe phrases “in one aspect,” “in an aspect,” “in an exemplification,”and “in one exemplification” in various places throughout thespecification are not necessarily all referring to the same aspect.Furthermore, the particular features, structures or characteristics maybe combined in any suitable manner in one or more aspects.

Any patent application, patent, non-patent publication, or otherdisclosure material referred to in this specification and/or listed inany Application Data Sheet is incorporated by reference herein, to theextent that the incorporated materials is not inconsistent herewith. Assuch, and to the extent necessary, the disclosure as explicitly setforth herein supersedes any conflicting material incorporated herein byreference. Any material, or portion thereof, that is said to beincorporated by reference herein, but which conflicts with existingdefinitions, statements, or other disclosure material set forth hereinwill only be incorporated to the extent that no conflict arises betweenthat incorporated material and the existing disclosure material.

In summary, numerous benefits have been described which result fromemploying the concepts described herein. The foregoing description ofthe one or more forms has been presented for purposes of illustrationand description. It is not intended to be exhaustive or limiting to theprecise form disclosed. Modifications or variations are possible inlight of the above teachings. The one or more forms were chosen anddescribed in order to illustrate principles and practical application tothereby enable one of ordinary skill in the art to utilize the variousforms and with various modifications as are suited to the particular usecontemplated. It is intended that the claims submitted herewith definethe overall scope.

1. A control system for a surgical system, the control systemcomprising: an imaging system comprising: an emitter configured to emitmultispectral electromagnetic radiation (EMR); and an image sensor; anda control circuit coupled to the imaging system, the control circuitconfigured to: detect airborne particulates via the image sensor basedon the emitted EMR; characterize a boundary of a particulate cloudcontaining the detected airborne particulates; and adjust a controlparameter of the surgical system according to a characteristic of theboundary of the particulate cloud.
 2. The control system of claim 1,wherein the control circuit is further configured to: detect a change inthe characteristic of the boundary of the particulate cloud; and adjustthe control parameter from a first value to a second value according tothe change in the characteristic.
 3. The control system of claim 1,wherein: the surgical system comprises a generator configured to drivean electrosurgical instrument; and the control parameter comprises anenergy duty cycle of the generator.
 4. The control system of claim 1,wherein: the surgical system comprises a smoke evacuator; and thecontrol parameter comprises at least one of a fan state or a motor stateof the smoke evacuator.
 5. The control system of claim 1, wherein thecharacteristic of the boundary comprises a movement direction of theboundary.
 6. The control system of claim 1, wherein the characteristicof the boundary comprises a rate of change of the boundary.
 7. A controlsystem for a surgical system, the control system comprising: an imagingsystem comprising: a multispectral electromagnetic radiation (EMR)source; and an image sensor; and a control circuit coupled to theimaging system, the control circuit configured to: detect the EMRreflected from particulates in an aerosol as received by the imagesensor; characterize a configuration of the aerosol containing thedetected particulates; and adjust at least one of a first controlparameter or a second control parameter of the surgical system accordingto the characterized configuration of the aerosol.
 8. The control systemof claim 7, wherein the control circuit is further configured to: detecta change in the configuration of the aerosol; and adjust at least one ofthe first control parameter or the second control parameter from a firstvalue to a second value according to the change in the configuration. 9.The control system of claim 7, wherein: the surgical system comprises agenerator configured to drive an electrosurgical instrument; and thefirst control parameter comprises an energy duty cycle of the generator.10. The control system of claim 7, wherein: the surgical systemcomprises a smoke evacuator; and the second control parameter comprisesat least one of a fan state or a motor state of the smoke evacuator. 11.The control system of claim 7, wherein the configuration comprises amovement direction of the aerosol.
 12. The control system of claim 7,wherein the configuration comprises a rate of change of the aerosol. 13.A method of controlling a surgical system, the surgical systemcomprising an imaging system, the imaging system comprising an emitterconfigured to emit multispectral electromagnetic radiation (EMR) and animage sensor, the method comprising: detecting airborne particulates viathe image sensor based on the emitted EMR; characterizing a boundary ofa particulate cloud containing the detected airborne particulates; andadjusting a control parameter of the surgical system according to acharacteristic of the boundary of the particulate cloud.
 14. The methodof claim 13, wherein the control circuit is further configured to:detect a change in the characteristic of the boundary of the particulatecloud; and adjust the control parameter from a first value to a secondvalue according to the change in the characteristic.
 15. The method ofclaim 13, wherein: the surgical system comprises a generator configuredto drive an electrosurgical instrument; and the control parametercomprises an energy duty cycle of the generator.
 16. The method of claim13, wherein: the surgical system comprises a smoke evacuator; and thecontrol parameter comprises at least one of a fan state or a motor stateof the smoke evacuator.
 17. The method of claim 13, wherein thecharacteristic of the boundary comprises a movement direction of theboundary.
 18. The method of claim 13, wherein the characteristic of theboundary comprises a rate of change of the boundary.